Getting Started with Python Deep Learning for Beginners

[@user___01]

This man really can't stop giving us some quality resources.

[@NicholasRenotte]

That’s why I’m here my homie! Spreading the ML love! Thanks for checking it out 🙏

[@marymaegregore5209]

Truu! Thank you so much ❣️💓💓💓

[@mahya4114]

for real!!

[@118penguin]

Tensorflow has dropped native windows support for GPU usage in their latest versions of tensorflow, so if you are having an issue with tensorflow recognizing your GPU, what I did to fix it is to reinstall the virtual environment, and put this for the pip install code: "!pip install tensorflow==2.8 tensorflow-gpu==2.8 opencv-python matplotlib protobuf==3.19.1". This should make tf recognize your GPU

[@ujjawaltyagi8540]

thanks bro ! that saved a lot of time as i was searching everywhere to resolve this ! (but still after following everything GPU is not showing at last..it kind of blinked first it was there but when i executed command before the check command it disappered and now model in not using GPU, taking a lot f time to train model) any idea how to resolve issue ? (we can chat on discord) please

[@niranjannag4537]

​@@ujjawaltyagi8540have you installed CUDA and CUDNN ??

[@piyushvarshney6724]

It's not working either I use the tensorflow == 2.12.0 But it's just gives a long error

[@WizzVard]

Guys if you did the same and there is no gpu, here is what you should do. First create new environment with python not more than 3.10. Also Tensorflow version should be less than 2.11. Here is commands you should run in cmd: conda create -n newenvname python=3.10 conda activate newenvname conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0 python -m pip install "tensorflow

[@WizzVard]

@@piyushvarshney6724 check my answer to this comment

[@johnzarate9975]

I always like the vibe that you have in this video, it's not boring to watch even it's 1 hr and a minute length vid

[@NicholasRenotte]

Thanks a million @John, seriously means a ton!

[@Seriosso]

Best thing to wake up to in the morning is a notification message on your cell phone saying the Sir Nic uploaded a new video! thanks brother for the amazing job.

[@NicholasRenotte]

Have an awesome day @Siraj, glad I could make it that little bit extra!

[@AgusCraft2002]

For those who are getting some errors at the moment of installing tensorflow, tensorflow-gpu, opencv-python and matplotlib (!pip install tensorflow tensorflow-gpu opencv-python matplotlib) make sure to check documentacion about versions.In this moment (March, 2024): - The last Python supported version by Tensorflow is 3.11 - 'tensorflow-gpu' has been removed, so you just have to type '!pip install tensorflow opencv-python matplotlib'

[@FionaldyAManik]

when installing CUDA, i have an error "no supported visual studio version found". I know this is out of topic, but do you maybe know how to fix it?

[@beaztplayz7366]

How can I use an older version of python in the program?

[@rahulsah983]

hey bro i am still finding error i cant find tensorflow-gpu after !pip list command

[@brunospfc8511]

Thank you so much Nicholas, so many people need this basics, and will enable many to follow the tutorials

[@NicholasRenotte]

Agreed, that was the goal with this! Have a kick start and then that way everyone can try out the tutorials regardless of skill level.

[@jdilanna]

This was great! Can't wait for the next one, absolute legend

[@Ranshin077]

Weird enough, there was one picture of a sad in the happy folder... after putting taking that out, I reran the model and it worked. But great content! This is exactly what I've been looking for.

[@NicholasRenotte]

Caught it!!

[@maythesciencebewithyou]

You really have the best videos to get started with deep learning.

[@harunaabdu]

Wow, another awesome content landed! this is really excellent. I really love your content nick

[@NicholasRenotte]

Thanks for checking it out @Haruna Abdu 🙏

[@jamejohn2987]

When's there's a ton of content about AI and stuffs, no one really says about the environment setup and setting the local machine and stuffs But you! Giving us this kind of content is just simply amazing! Thank you so much Nicholas. As the other part of this video I'd to see the model deploying in fast api or something related Hope you consider it Thank you

[@NicholasRenotte]

Thanks a mil @jame john! Yah, will do some deployment stuff soon!

[@rahulb9205]

!pip install tensorflow tensorflow-gpu opencv-python matplotlib let me know how to resolve this

[@g.gous17]

Thank you soooo much Nicholas! The quality of your videos combined with your contagiousness is amazing. I'm doing my senior thesis at the moment and didn't know where to start (i have no experience at all) and this video (and in general your videos) helped me a lot. Much love from Greece!

[@ehiojehenryerabor6960]

Thanks, Nicholas, I followed every inch of this tutorial and I was able to properly set up my Machine Learning environment by carefully selecting the versions that you used for Tensorflow, Cuda, cuDNN and boom my GPU came alive. Keep more tutorials rolling in.

[@DaniilLusyk]

I am starting to learn Ai for myself and i am extremely lucky to have a mentor like you on my side Thank you for your work and I'm going to search the next steps (tutorials) on your channel

[@aman1708]

I was waiting for this video . Thank You.

[@khanhlinhnguyen6117]

Thank you so much for the quality content. You are my fav teacher on ML ❤

[@shezwad_]

Great content. Teaching the way of creating the virtual environment and understanding the appropriate versions of tensorflow, cudnn and CUDA were brilliant.

[@NicholasRenotte]

Glad you enjoyed it @shehan! It seemed trivial but it's so helpful in the long run!

[@jonathanjavierloorduque7109]

Thanks always look at you videos and I consider is the best way for learning about IA with python. Always use your tutorials.

[@mrdbourke]

outstanding setup video! many of the setup steps eg environments/git/github aren't often talked about

[@dragway0385]

Really really great video❤, for those who have problems installing tensorflow-gpu make sure that the conda env that u are using have the pyrhon version that you need as well of the kernel that you create with that conda env

[@ShadowkingX]

Yea im having problems because im on windows 11

[@KaylaXYT]

@@ShadowkingX Hey friend, I've also encountered the same situation as you. I want to know how you handled it in the end

[@ShadowkingX]

@@KaylaXYT nope. The only solution is to wait for them to update or do it in a virtual environment

[@KaylaXYT]

@@ShadowkingX Okay thank u

[@brentsimpson3791]

Thanks Nicholas, excellent video! Still trying to get my head around all the info but very steep learning curve. Seems to be a few changes since you did it but am working through it. You're a legend!

[@fassoyangce1075]

The best instructor! Thank you so much for such simple educative explanation! I've been into ML since 2018 when Keras was a baby still. It was so difficult back in the day to find good explanation for algorithms and what they do, especially in my country where we can't buy books easily from Amazon and such. I was doomed to Indian youtubers. 😂 Thumbs up!

[@NicholasRenotte]

I refer to those days as the wild wild west of deep learning, seriously there was so little back then to learn 😅. Anyone that was doing this in 2018 is probably an absolute wizard now though!! Thanks a mil for checking this out @Fasso!

[@fassoyangce1075]

@@NicholasRenotte Totally. There were scientific papers on arxiv and Siraj who had an awesome high level channel but turned out to be a scammer in the end. So sad.

[@maraenache4734]

I want to share a tip regarding a tutorial advice for troubleshooting errors during the installation of TensorFlow and TensorFlow-GPU. Even if newer versions are available, installing the exact versions mentioned in the tutorial can resolve the issue. Personally, I created a new virtual environment and installed Python 3.9, despite my Anaconda defaulting to Python 3.11. Then, I installed TensorFlow 2.10.0 and TensorFlow-GPU 2.10.0, and everything worked smoothly.

[@dankoramirez7780]

Hello! How did you install the python 3.9 version in you jupyter lab environment?

[@rebeccakipanga478]

The quality of the content! Thank you sir.😊😊😊😊.

[@tomrowland8516]

I'm just about to bite the bullet and get my first pc build underway for deep learning. I've been using colab for a while now to train and I've found it has really hampered getting a good understanding. Thanks for the vid, this has been favourited to rewatch when the build is complete and I am configuring my GPU!

[@NicholasRenotte]

Go getem Tom! It makes a huge difference having a machine you can quickly get access to and hammer with some prototypes! lmk how you go!

[@rahulb9205]

!pip install tensorflow tensorflow-gpu opencv-python matplotlib let me know how to resolve this

[@oshanijayawardane9640]

aha a lewis fan !! btw the best tutorials i've come across. thanks Nicholas

[@geethasubramanyam]

Hey guys, @28:50 if you're installing ipykernel on mac, you might wanna enter the command as follows python -m ipykernel install --user --name=imageclassification Happy DeepLearning!

[@dexternepo]

Thank you so much! I use Linux and this worked for me as well!

[@harshavardhan8163]

Works on Linux too! Thank you!

[@JustaCat755]

Thanks for the tutorial, love your advice and introduction for deep learning for beginners

[@NicholasRenotte]

Anytime @Just A Cat!!

[@jdietzVispop]

Man, your content is so good! You are a legend, thank you!

[@nataliaagudelo6571]

Thank you so much Nicholas for putting this togheter!

[@avishekdas7916]

Thank you soooo much Nich!!!! This was amazing TF configuration tutorial. I followed each and every step and got mu device configured. 😍😍😍😍😍😍😍😍

[@ashalali9646]

I downloaded anaconda but it just had python 3.11. When I tried running the first pip install to get tf and matplotlib etc. I got an error . What can I do?

[@captainlennyjapan27]

I really appreciate this quality content!!

[@demokumar7547]

thanx for amazing tutorial bro its really help for beginners i'm kind of people who start learning new thing by project not by in depth after 2-3 project, i have an idea about what i'm going to learn then i start learning things in depth and your this playlist help me a lot bro again thanx

[@ElhanRaza]

0.02s - Debugger warning: It seems that frozen modules are being used, which may 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off 0.00s - to python to disable frozen modules. 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation. Installed kernelspec faceDetection in C:\ProgramData\jupyter\kernels\facedetection i am getting this after installing the kernel is something wrong ?

[@austinekihara7620]

oya dude you are great, sorry no the GOAT!

[@mudassarayub3027]

Thank you Nicholas Renotte for the amazing content followed your tensorflow object detection tutorial . My humble query is can we apply the save model in this tutorial for real time detection using webcam to classify whether a person is happy or sad like the one with tensorflow sign language detection tutorial where we load the checkpoints for real time sign language detection when it was testing? Is this classification model works only for images?

[@konradriedel4853]

Nice tutorial on the install, additional question: what about using spyder, would that need to be installed within that environment or globally on the drive and then bound to a specific env? And what about using 2 tf versions which require different cudaversions? Ty anyways so far!

[@NicholasRenotte]

Haven't done too much with Spyder but I'd imagine it would need to sync with the venv as well. For 2 CUDA versions, I normally install both and ensure I've got them both in the env variables.

[@muaazbayat4206]

Lewis is the GOAT 👊

[@NicholasRenotte]

AYYYYY, hell yeah!

[@julian.borisov]

The ultimate tutorial! Appreciated!

[@WalkAloneLive]

Thank you so much Nicholas

[@mvaabox7092]

Hello. I've seen a lot of your video tutorials especially about object detection, license plate recognition, and others. It was quite helpful for my campus assignments to my project. From several tutorials on object detection (and the like), have you made a tutorial on how to get the confusion matrix, accuracy, precision, and more after we train, test, and validate the dataset of these images? Thank you before!

[@NicholasRenotte]

Don't think I have one out there yet, will add it to the list!

[@mvaabox7092]

@@NicholasRenotte Cool! Waiting for the next content! Thank you!

[@manelbouraoui5683]

Hi Nicolas , i wanna thank you first , your courses have been very helpful so far but i have a question when i'm working with jubyter lab the cmd "!pip install tensorflow tensorflow-gpu opencv-python matplotlib" didn't work , how can i fix that ?

[@abdelmadjidtahar4618]

did you fixit ? I have the same problem

[@squaddyy]

I have the same problem too. What did you do?

[@farukhkhan659]

Did you found the solution for this issue?

[@cihansakman8296]

It gives the error because of the 'tensorlfow-gpu'. For that project, you can ignore to download it and continue without installing that library.

[@WilliesBayler]

Great tutorial! I have a quick question. I keep getting this error "[Errno 13] Permission denied: '/usr/local/share/jupyter'" when I run the code "python -m ipykernel install --name=imageclassification" inside the virtual environment. What might be the problem? I'm using Ubuntu for this build.

[@NicholasRenotte]

Can you try this for me @Willies (add the user flag): python -m ipykernel install --name=imageclassification --user

[@WilliesBayler]

@@NicholasRenotte It worked! Thanks

[@yonatanrotem6113]

@@NicholasRenotte Loving your content, pretty much exactly what I'm after and cool to have a local tutor (I'm in Melbourne!) Just wondering what does adding the user flag do here?

[@scottkorman4953]

@@NicholasRenotte Had the same on macOS and it worked with --user!

[@jeb4148]

is there any dis/advantages between installing packages in an environment using pip vs conda and making new environments using pip vs conda??

[@VictorDiVello]

I would like to know about transfer learning, freezing layers, overfitting, underfitting, mAP.

[@NicholasRenotte]

Coming down the pipeline @Victor!

[@VictorDiVello]

@@NicholasRenotte Nice! I work on the night shift as an engineer for a large IT firm and have been self teaching myself ML. Watch your videos for hours and hours till I get it right. I’ve already created a project that will identify the animals by name and people in the house then tell me which room they are in using our security cameras. From there I can control smart home entities with Home Assistant by room. But I feel like my model could be more accurate. Thanks for your time and work!

[@kenyosh8957]

dude omg you're so goated for this TYSMMM

[@OopsCoca]

THANK YOU so much, you are always my hero

[@NicholasRenotte]

🙏 thanks for checking it out!

[@elhamkeshavarzarshadi]

'imghdr' is deprecated so you can use pillow library to determine the format of image

[@InfiniteTV-008]

Tensorflow-gpu has been removed. Please install tensorflow instead. The tensorflow package supports GPU accelerated operations via Nvidia CUDA. Thank you!

[@SA-oj3bo]

What if you installed python already on your computer? Will Anaconda disturb/interfere with it? Or they install happy next to each other?

[@NicholasRenotte]

Yeah normally it causes a bit of a pain, if you already have Python you can install jupyter using pip!

[@dhruvjoshi5051]

love ❤ the content, thanks for the extra ordinary efforts

[@barutistudio1397]

Thank you Nicholas, you are my hero💪

[@rahulb9205]

"!pip install tensorflow tensorflow-gpu opencv-python matplotlib" This line is throwing me an error that tensor flow is not installed How to resolve this?

[@cvmaths9838]

error: subprocess-exited-with-error python setup.py bdist_wheel did not run successfully. exit code: 1 [18 lines of output] Traceback (most recent call last): File "", line 2, in File "", line 34, in File "C:\Users\vassi\AppData\Local\Temp\pip-install-a50yj1tb\tensorflow-gpu_1fc4cd082b59413c934498bbbf2b6141\setup.py", line 37, in raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for tensorflow-gpu error: subprocess-exited-with-error Running setup.py install for tensorflow-gpu did not run successfully. exit code: 1 [18 lines of output] Traceback (most recent call last): File "", line 2, in File "", line 34, in File "C:\Users\vassi\AppData\Local\Temp\pip-install-a50yj1tb\tensorflow-gpu_1fc4cd082b59413c934498bbbf2b6141\setup.py", line 37, in raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure Encountered error while trying to install package. tensorflow-gpu note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure.

[@tadeuszd69]

did you find an answer?

[@cvmaths9838]

@@tadeuszd69 Yes , as instead of doing what IS recommended, i create m'y own environment in anaconda via anaconda.navigator ; there IS a conflit between tensorflow GPU and a too resent version of python (for me it was python 3.11) ; so i came black to a earlier version of python (maybe 3.10 cant remember) but now its working fine ; in fact creating directly a dedicated environment in anaconda is very easy : i created 2, one for ML and one for DL, good Luck ton you 👍😜

[@mattphorwich]

Exciting stuff! I would really like a robogarden and to know the best resources...I am working on a raspberry pi garden, learning what it can do...I'm a big fan of learning the ai and it will be really cool to see what it can do for real life applications like agriculture!

[@NicholasRenotte]

Ooooh cool, I know crop yield prediction and leaf disease detection are some interesting use cases @Matt!

[@mattphorwich]

@@NicholasRenotte oh wow! I would love to see some tutorials on that,as well as setting the right humidity and temperature and how to make a good spectrometer to see how many vitamins the plants are producing...I'm a big fan of your videos!

[@ReinerFrost]

cudnn 8.1 isnt publically available now. you are required to have a premium nvidia membership to have that. so, im unable to complete the setup. i tried it with other newer cudnn versions, but none of them are working.

[@alexanderwang2484]

Great tutorial and production quality

[@juanete69]

I expected to see more speed increase with the GPU. Would it be better if you use cache() and prefetch()?

[@cryptoscopeai]

Hey Nich, this course is amazing but I have tried everything yet I am not able to see GPU afetr installing NVIDIA CUDA and cudNN

[@prasanshah397]

Can you please do an updated version..

[@adarshyadav5932]

Question : Are we going to install all the dependencies(tensorflow and all) everytime in each project?

[@carolinemicheldechabannes3582]

Hey Nicholas thank you for the great video, but I have a problem concerning the installation of ipykernel it doesn't install in my prompt command, I am blocked here, and I can't find the answer. Do you know how where the problem can be, please?

[@chrisoliverbethel1681]

I am having this same problem right now. How did you end up figuring it out?

[@avocadro-nq6lh]

Impressive Nicholas your infectiousness in your teaching style is amazing! The quallity of the content is great, is very helpfull, not boring and your vibe is awesome! Thanks for all! I have some questions for you: 1. If we are running this on a mac machine is it unnecessary to install git and microsoft visual studio right? Furthermore, should we omit the setup involving GPUs in part 4, because we arent have nvidia gpu? 2. On the mac enviroment are there any spesific lines of code that we must modify? For instance, the line addressing the prevention of OOM errors through GPU Memory Consumption Growth - should we replace 'GPU' with 'CPU' to cater to CPU utilization? 3. Expanding the model's classification capabilities to encompass more categories - let's say, 9 classes. Would achieving this involve solely uploading 9 data folders of images within the 'data' directory? Or are there code adjustments required to accommodate the altered CNN architecture? Your insights are greatly appreciated.

[@Raoofaltaher]

I have a problem importing tensorflow as tf

[@vishalks5184]

bro i cant install tesorflow-gpu it shows the error:"This error originates from a subprocess, and is likely not a problem with pip."

[@odobasian7664]

same issue here. Did you find a solution?

[@conquered7704]

6:56 how would you add anaconda3 to the system PATH environment variable after the command prompt appears and is closed

[@conquered7704]

would I have to delete it and just reinstall it?

[@samanaathreya5819]

Struggling with the same doubt. Please do reply if you found out a way

[@hsakaardnetih7898]

i have NVIDIA GPU but i cant see the output how can i get help..please comment. i get and empty array as output when i run the command tf.config.list_physical_devices('GPU')

[@uglitor]

Same problem. Did everything the video showed (expect installing the Visual Studio 2019 as he skipped it and just said "install it", which I did, but I dunno if it was done properly). Can't get my GPU tho show up on the jupyter notebook

[@oz1213-u4x]

@@uglitor did you fix it?

[@salyafai7946]

Same here, did you fix it guys?

[@mitsuTomiE]

min 29:00 why the kernel was created at C:\ProgramData\jupyter\kernels..... but the work's space is D:\ImageClassification... @NicholasRenotte

[@elangoldman6694]

It doesn't seem like there's a way to download cuda or cudnn on Mac M2? What should I do instead? Will I still be able to do these deep learning projects on Mac? Thank you for the channel. This is amazing!

[@najmu008]

I followed the exact steps as mentioned..and installed tensorflow using pip install.. and did !pip list .. this gave me the list and the versions installed.. tensorflow 2.10.0, tensorflow-gpu 2.10.0 .. This confirms to me that tensorflow is installed.. Now when i try to import tensorflow import tensorflow as tf import os ModuleNotFoundError: No module named 'tensorflow' Am i missing something here ? please help

[@najmu008]

i did these additional steps as workaround, to overcome above problem: conda create --name tf python=3.9 conda activate tf

[@najmu008]

1. Open the CMD in the administrator mode. and install the libraries using pip install 2. pip show to check the path it is installed. 3. Import the path using the following code: import sys sys.path.append('c:/users/admin/appdata/roaming/python/python39/site-packages') sys.path.append('c:/python/python39/lib/site-packages')

[@eycanozdemir4712]

hey Nico. Thanks for this work. Can you show us how we can test again in our own computer environment after training in Colab? I don't have CUDA. GPU is too bad. so is RAM

[@elhamkeshavarzarshadi]

The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Thats what I got when I run the command below! !pip install tensorflow-gpu And instead of tensorflow-gpu there is tensorflow-intel installed through the tensorflow installation , so it has the whole package

[@gowthamangobalasingam624]

Why you don't create a conda environment?

[@NicholasRenotte]

Could definitely use it, I've just found this process tends to work pretty reliably without having to fully rely on Anaconda.

[@sudhanshumalhotra3758]

!pip install tensorflow tensorflow-gpu opencv-python matplotlib giving error(while generating package metadata). how do i resolve that

[@rohitchan007]

You're the best.

[@bilalawan7664]

You are Great Nick

[@thereticentgirl7180]

Does AMD Radeon support CUDA? What can be the alternatives?

[@SelfishDengo]

Thanks Nicholas! Is there any way to train image classifier without GPU, only using cpu?

[@prathambansal2036]

Can't activate the environment using the given command, its giving an error saying "".\ev_3\bin\activate' is not recognized as an internal or external command, operable program or batch file." PLease HELP..

[@khenpahilanga9596]

Why do i only have 1 kernel which is the python 3

[@abhishekjoshi8709]

While installing kernels in virtual enviornment only two kernels were installed - 1. ImageClassification 2. python. I mapped the entire instructions explained above but still encountered the same problem. How to solve this issure?

[@agnideepmukherjee1763]

Hello, a great content. However after I run the code I get an error : code : hist = model.fit(train, epochs=20, validation_data=val, callbacks=[tensorboard_callback]) error : "'Function' object has no attribute '_concrete_stateful_fn'"

[@harizh2415]

Got you on a correct time

[@NicholasRenotte]

Hahah wassup @Harizh!

[@harizh2415]

@@NicholasRenotte Your Contents are helping me a lot in my life. Thought to learn DL, now you have uploaded it. Thanks a lot!

[@NicholasRenotte]

@@harizh2415 🙌🏽 yess go getem!

[@harizh2415]

@@NicholasRenotte Cool 🌟

[@khaakaurkhaaki]

Hi , I have a question... i have tried creating the virtual environment using the "python -m venv name" command that you told but i keep getting this error..."Error: Command '['C:\\projecttut\\ImageClassification-main\\frass\\Scripts\\python.exe', '-Im', 'ensurepip', '--upgrade', '--default-pip']' returned non-zero exit status 1." i uninstalled and re installed anaconda both with single user and multiple users and tried both times still it didn't work...

[@ViewerRG]

Nicholas have you created a ML course? I cant seem to find one. I think you would crush it and help many!

[@arshdeepsingh5950]

Thank you bro highly needed this thing!!! Loving you content Nicholas!! Can you also give some tips like how to get a job as Deep Learning Engineer in a tech giant with 0 experience and no college? 😅😅

[@NicholasRenotte]

Step one: build stuff! 😅 nah, I kid I kid. I'll do some career stuff soon!

[@arshdeepsingh5950]

@@NicholasRenotte thank u sir...btw ur so cool, like I am too learning Machine Learning since 2 years and am no where near u... how efficiently and smartly u are able to do so many complex projects and topic. Really appropriate that sir 😆

[@ALIDABAN]

Thank you very much Is the deep dive with more than 2 classes online?

[@henkhbit5748]

Nick u have the speed of an F1 🏎, I almost think u drink a Red Bull 😎 Interested in outlier detection and generating (master/detail) tabular data using GAN....

[@NicholasRenotte]

Hahahahaha @Henk! We're not doing too well atm! GANs are coming up, was just coding one for the channel 2 minutes ago!

[@henkhbit5748]

Yes i think MC dancing to much on the circuit😁

[@MohammedGaffoor-t8y]

which command prompt are u using anaconda power shell?

[@ALIDABAN]

I didn't get the GPU list After trying and searching a lot found that TensorFlow doesn't support NVIDIA Geforce MX130

[@amruthamanda4394]

Hey nick I am having a problem with switching the C to D for the command prompt because it is saying device is not ready and I don’t know what the problem is.

[@misbahfahamsyah7023]

How did you log the metrics every epochs? I mean, the logger runs at the same time in every epoch without using tensorboard?

[@franciscobolivar3917]

Thank you so much for sharing these valuable tools. I am a beginner in Python so this type of tutorial fits very well to me. Now, when I try to install the Anaconda, the first check box in the Advanced Options is gray out. Any thoughts? My guess is that my OS is Windows 11. It has been giving me a bunch of headaches with restrictions... but idk.

[@scottkorman4953]

When activating the venv I have both, (base) and (venv) running. I can only open jupyter lab when both are running, but not when (base) is decativated. To open jupyter lab with only the (venv) running I would have to install it there. Now I am wondering whether it is fine to have both activated or should I better only activate (venv) and install everything that I need there?

[@bahaserdaroglu467]

There is a big problem with TensorFlow it is not supporting gpu anymore and I have RTX 4080 graphics I do not know how to use the gpu

[@abhiramkozhuvil724]

when I run the code for TensorFlow gpu its shows an error and it is saying that tensor flow gpu has been removed

[@ishandandekar1808]

Hi Nicholas, I accidently installed Visual Studio 2022 instead of 2019. As you said in the video that it was working for you. Although when I installed CUDA software it showed a note where it said that it didn't install Nsight for 2019 Visual Studio. Will that be a problem? I am installing everything for the first time here, don't really know what I am doing so I don't to make a mistake and do the things all over again.

[@Muhammad-fm7zc]

Thanks Sir Nicholas.

[@jedeccano6653]

hi sir will these tutorials might have the chance to work with RPI?

[@deepan_king07]

Hi Nicholas! i have one dbt,what if we already have newer version of nvidia cuda?