Tensorflow Tutorial for Python in 10 Minutes

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Nicholas Renotte

Nicholas Renotte

Күн бұрын

Пікірлер: 253
@apollog6793
@apollog6793 3 жыл бұрын
I like how he is doing 10min tutorial but still included a humor intro
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
😆 gotta try to stay a little funny!
@ShivanS
@ShivanS 3 жыл бұрын
These videos are so good. A whole end-to-end project in 10 minutes. And a bit of humour and art tossed in there.
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Thanks so much @Shivan! Glad you enjoyed it!
@shallusharma4687
@shallusharma4687 2 жыл бұрын
#TensorFlow-- python Library #Explanation with Example kzbin.info/www/bejne/pZvIp6JubbeJl6c
@Duhgy
@Duhgy 2 жыл бұрын
Yeah but you aren’t taught anything, you cant learn ml in 10 mins I’m sorry
@priyam66
@priyam66 Жыл бұрын
@@Duhgy that is just to refresh some basics pertaining to Tensorflow. learning ML requires a hell lot of other steps from EDA to Feature Engineering to Feature Selection to HypterParameter Tuning.
@josephmyalla3611
@josephmyalla3611 Жыл бұрын
​@@NicholasRenotte ❤
@campbellmcternan3902
@campbellmcternan3902 10 ай бұрын
I normally never comment on tutorial videos but this was very excellently done! This was exceedingly concise and clear
@kyleDoesCoding
@kyleDoesCoding Жыл бұрын
This is the most amazing tutorial I have ever watched. I'm not ashamed to say I sometimes require extra explaining but this guy is just spot on with his explanations.
@UR_Mbappe_9
@UR_Mbappe_9 2 жыл бұрын
Didn't need to watch those 2 hours video. With your video, I was able to understand the base and the rest is just research and finding codes I need. This helped so much. Thank you! You are the best!
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
YESSS! Once you get the structuring it's all just a matter of building different architectures where needed!
@rowlandgoddy-worlu3382
@rowlandgoddy-worlu3382 2 жыл бұрын
One thing I like about his videos is how basic he breaks down complex concepts for easy comprehension! Having knowledge is one thing but passing that knowledge on is another. Nicholas is doing great at giving that knowledge!
@adrianp9283
@adrianp9283 Жыл бұрын
Hey guys if your trying out this video in 2023 July like me you need this line changed for it to run X = pd.get_dummies(df.drop(['Churn', 'Customer ID'], axis=1), dtype=float) the dtype=float is the most important was trying to figure why it wouldn't train all morning and just cracked it.
@dmotson
@dmotson Жыл бұрын
very helpful thanks!
@shaman3198
@shaman3198 Жыл бұрын
Thank you so much !!
@nonoobott8602
@nonoobott8602 2 жыл бұрын
Absolutely brilliant. End-to-end in just 10 minutes. Very explicit. Thanks for sharing
@aayushipuri8781
@aayushipuri8781 11 күн бұрын
I loved this tutorial! ❤ I was always scared of this topic, TensorFlow, but you made it seem so easy. Now I wish to create more models and projects using this. I’ll always watch this video to revise the concept. Thank you!
@SaptadeepDutta_Ex-Xerox
@SaptadeepDutta_Ex-Xerox 2 жыл бұрын
Thanks for reaching the heart of the matter (4:07) so quickly and then explaining these '4 lines' so well.
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
Stoped you enjoyed it @Saptadeep!
@knitronics
@knitronics Жыл бұрын
This tutorial is an absolute life-saver. Well done!
@tiaantoinette8047
@tiaantoinette8047 3 жыл бұрын
Went along with you and got .8 on the last epoch, but had .78 on the accuracy score. Loved this tutorial; it was so well explained. Thanks!
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Awesome stuff @Tia, awesome work!
@mariuszzacharuk6167
@mariuszzacharuk6167 3 жыл бұрын
I've to say - great stuff, but you must be carefull with input dataset. Because of some missing values in "Total Charges", it's treated as an object instead of series of numbers. This leads to situation, when we feed layer with dimention over 6500 (which is close to cardinaltiy of training set - and this should be huge red flag - at least for example Random Forest prediction models are very bad in this circumstances). After cleaning input dataset, we end up with dimention = 45, which is reasonable in this case.
@shallusharma4687
@shallusharma4687 2 жыл бұрын
#TensorFlow-- python Library #Explanation with Example kzbin.info/www/bejne/pZvIp6JubbeJl6c
@KevinSmith-qt4hz
@KevinSmith-qt4hz 2 жыл бұрын
Although this isn't an actual tutorial, it is cool to see you build a model so quickly!
@winstonyeung1461
@winstonyeung1461 3 жыл бұрын
Sir, as of all your other tutorials, it is so self-explanatory and clearly defined. Thank you so much.
@shallusharma4687
@shallusharma4687 2 жыл бұрын
#TensorFlow-- python Library #Explanation with Example kzbin.info/www/bejne/pZvIp6JubbeJl6c
@enewhuis
@enewhuis 2 жыл бұрын
This is a perfect introduction to sharing with people on any team that works with someone working with ML. :D
@Billy-te3mz
@Billy-te3mz 3 жыл бұрын
Top video, mate. Usually any Aussie who pronounces data as “day-ta” instead of the objectively superior “dah-ta” won’t win my respect. I’m willing to look past this for you xx
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Cheers @Billy, I'll drop a "dah-ta" for you in one of the future videos 🤣my US colleagues have given up on trying to convert me!
@FaroukYahaya-xi4ri
@FaroukYahaya-xi4ri 8 ай бұрын
epitome of greatness. Fashion Model looking guy having the best ML/AI lessons on youtube! xD
@ZiRo175
@ZiRo175 2 жыл бұрын
hey mate just watched your video and thought it was super useful to my learning. You explain everything very well (look good doing so) and left out the unimportant details. Thank you for this content!
@maryrooster8737
@maryrooster8737 Жыл бұрын
Thank you! Up until now I've only done old skool supervised learning. With your tutorial I'm ready to enter the big leagues!!
@goboy6882
@goboy6882 3 жыл бұрын
Short and sweet! I'll add it to my memory palace. Thanks again.
@study_with_thor
@study_with_thor 3 жыл бұрын
I am about to choose a major at university as a high school student! you would be the one who has been inspiring me to learn AI! what an amazing channel bro!
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
YESSS, go getem!
@calvinnme2
@calvinnme2 4 ай бұрын
Finally a concise introduction to TensorFlow.
@michaelareay1037
@michaelareay1037 2 жыл бұрын
Excellent presentation. Straight to the point, easy to follow and well explained.
@IamRileyofficial
@IamRileyofficial Жыл бұрын
Excellent video, this was short, very clear, and easy follow. Great job, and thank you for this!
@spiritfly8210
@spiritfly8210 3 жыл бұрын
Thankyou so much Nicholas, this is what I was looking for, whole story in 10 minutes, Tq so much,brilliant effort.
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
It's a bit of a crash course but it goes through the basics right?! 😃
@user-rj8mk6fz1u
@user-rj8mk6fz1u 2 жыл бұрын
Can you please cover fall detection ? I've been looking for tutorials on it for 6 hours on internet and i couldn't find a helpful resource.. you explain and makes things everything so easy to understand and no one does it like you !!
@LongNguyen-ef5qd
@LongNguyen-ef5qd 2 жыл бұрын
I totally love your dedication on each videos bro !! Thanks for your hard work and keep it going !!!
@shallusharma4687
@shallusharma4687 2 жыл бұрын
#TensorFlow-- python Library #Explanation with Example kzbin.info/www/bejne/pZvIp6JubbeJl6c
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
Thanks a mil for checking it out @Nguyen Long!!
@akshitdayal2689
@akshitdayal2689 3 жыл бұрын
A much needed video! Thank you for the great work!!
@riomorder
@riomorder Жыл бұрын
Exactly what I am looking for. Something straight forward
@scarleyxo
@scarleyxo 3 жыл бұрын
Thanks for sharing this! Can’t wait to watch some more of your content.
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Thanks so much @Scarlett, plenty more to come!
@1jfecteau
@1jfecteau 3 жыл бұрын
Excellent video! Concise and every step well-explained throughout.
@acb_gamez
@acb_gamez 2 жыл бұрын
This was awesome man thanks. I got a good understanding of the flow of tensor flow and also the things I need to learn to become proficient. I def need to understand more about the different network types/shapes and their use cases, as well as the activation algorithms. Also is nice to know that I don't need to dive too deep into learning about the backpropagation and calculus because TF takes care of all of that!
@sachinsanand2484
@sachinsanand2484 2 жыл бұрын
You are the best, Nicholas. Just Brilliant!!
@mamadouaw3129
@mamadouaw3129 Жыл бұрын
This one video made me subscrib immediately to your channel and like all videos of you ! so perfect and time saving
@lunam7249
@lunam7249 Жыл бұрын
you didnt explain what "churn" means😓😓😓
@amleth_prince_of_denmark
@amleth_prince_of_denmark Жыл бұрын
Customer churn is the percentage of customers who stopped purchasing your business's products or services during a certain period of time. Your customer churn rate indicates how many of your existing customers are not likely to make another purchase from your business.
@apricotcomputers3943
@apricotcomputers3943 8 ай бұрын
He's still learning 😅
@lunam7249
@lunam7249 8 ай бұрын
@@amleth_prince_of_denmark thx!!
@fastgeorge3104
@fastgeorge3104 Жыл бұрын
Perfect introduction, thanks a lot! Got me over that first big hurdle
@raphroum6486
@raphroum6486 Жыл бұрын
Understood one word out of 5, but this will for sure make me wants to work with it.
@vikasyaduvanshi2222
@vikasyaduvanshi2222 3 жыл бұрын
Thanx for sharing your knowledge with us bro. U explain so easily and effectively
@brianvanvlymenpaws
@brianvanvlymenpaws 2 жыл бұрын
Finally I understood thank you for explicit expansion of those attributes.
@YTantirungrotechai
@YTantirungrotechai 3 жыл бұрын
This is really useful. Give me a much clearer idea on how it works.
@notarealhandle123
@notarealhandle123 3 жыл бұрын
Add to it 1 month to start understanding what it is that you are doing and how to improve your models.
@hggaming911
@hggaming911 Жыл бұрын
This video is awesome, I have two questions because I'm new in Tensorflow, 1- Do we need to encode numeric data in the data sheet before we start building the model?, because I didn't see that in the video. 2- How we can map the prediction results 0, 1 to Yes, No as per the data sheet?
@jordanlane68
@jordanlane68 4 ай бұрын
Seriously killer teaching (I assume to be Australian) sir.
@husammasalkhi7817
@husammasalkhi7817 2 жыл бұрын
Dude, very nice compact video, thanks for making it!
@cchingwe
@cchingwe 7 ай бұрын
I have been "tensored"! Hopefully this is the beginning of my AI career! Thank you
@sumers9396
@sumers9396 Жыл бұрын
your videos are really helping man! appreciate it!
@protovici1476
@protovici1476 3 жыл бұрын
I remember my grad days for data science and this would still scare me for a test like that lol. Great video!
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Hahahah, ikr, man I've been working with TimeDistributed layers right now and it's giving me the same nightmares!
@Reeg3x
@Reeg3x 3 жыл бұрын
How long and time consuming was grad school for data science? Could it be done with a full time data science job?
@protovici1476
@protovici1476 3 жыл бұрын
@@Reeg3x 2.5 years and fairly time consuming given the various complex topics it covered (the college is nationally recognized). You'll need a heavy background in stats/computer sciences to obtain a data science job (a real one not just by name working in just excel or the like). One just can't go straight into becoming a lawyer without education just like data science.
@Reeg3x
@Reeg3x 3 жыл бұрын
@@protovici1476I’ll let you know if that last part is true or not after my interview next week.
@anshXR
@anshXR 2 жыл бұрын
Watch it in 2x to learn Tensorflow in 5 minutes
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
This guy tensorflows
@kailaloveAI
@kailaloveAI 2 ай бұрын
You are awesome. This was so helpful. Thank you!
@edwardseverinsen5598
@edwardseverinsen5598 2 жыл бұрын
0:23 _NICHOLAS RENOTTE - WORRIED ABOUT THE TIME LIMIT_ *Talking fast* LOL, that made me laugh really hard. I also enjoyed the video.
@joshlsullivan
@joshlsullivan Жыл бұрын
Great video, Nicholas.
@fukatinsaan522
@fukatinsaan522 4 жыл бұрын
Okay! This was much needed. Thenks!
@NicholasRenotte
@NicholasRenotte 4 жыл бұрын
Thanks so much @fukat!!
@IronSmasher-ie5ei
@IronSmasher-ie5ei 6 ай бұрын
I would like to resolve an error I came across when implementing the code: Code to train the model for a certain amount of epochs: model.fit(X_train, y_train, epochs=10, batch_size=32) Error: Failed to convert a NumPy array to a Tensor (Unsupported object type int).
@PongsatornKanjanasantisak
@PongsatornKanjanasantisak 6 ай бұрын
same
@KentutHeadshot
@KentutHeadshot Ай бұрын
@@PongsatornKanjanasantisak same what do i do
@zai_ry11
@zai_ry11 27 күн бұрын
i know im late but put this code before the model.fit() from numpy import asarray, float32 X_train = asarray(X_train).astype(float32) y_train = asarray(y_train).astype(float32) that should do it
@paulbergstedt1892
@paulbergstedt1892 Жыл бұрын
When i tried to run through this exercise i ran into an issue: model.fit(X_train, y_train, epochs=200, batch_size=32) gives errorValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int). So to get around this - I converted X and y train to float32 X_train = X_train.astype('float32') y_train = y_train.astype('float32') Later i ran into a similar issue with: y_hat = model.predict(X_test) y_hat = [0 if val < 0.5 else 1 for val in y_hat] So again - converted X_test = X_test.astype('float32') Everything seemed to complete as expected with 0.79 accuracy score. Thoughts?
@samuelninsiima8580
@samuelninsiima8580 4 ай бұрын
X = pd.get_dummies(df.drop(['Churn', 'Customer ID'], axis=1), dtype=float)
@mytechnotalent
@mytechnotalent 3 жыл бұрын
This is brilliant! Well done Nicholas so helpful!
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Thanks so much @Kevin! If you're interested, maybe check out Object Detection with Tensorflow next! kzbin.info/www/bejne/r6LOeoZ_eK17Y7c
@anirbanchakraborty69
@anirbanchakraborty69 3 жыл бұрын
So perfectly explained. Thank you
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
So glad you enjoyed it @Anirban!
@coolstudios8273
@coolstudios8273 Жыл бұрын
Lately I've been developing a large Tensorflow model, and I'm getting out of memory errors, from what I've learned it seems the best solution to this road block is gradient checkpointing, however there is little to no resources online about it. Could you make a video covering gradient checkpointing?
@sonnybigler8726
@sonnybigler8726 2 жыл бұрын
This was very helpful. Thank you very much.
@jinanlife
@jinanlife 3 жыл бұрын
OK. you have the biggest eyes on the planet. YOU WIN!
@paulburnett1963
@paulburnett1963 3 жыл бұрын
great job and nice and concise work..
@ZwaneDev
@ZwaneDev 3 ай бұрын
This is really cool and I know this tutorial is a bit old at this stage but just a question on how you would run inference on the saved model with new input data?
@Hashindata
@Hashindata 2 жыл бұрын
Really great Churn Model explained in TensorFlow but, why use pd.get_dummies() for the data preprocessing?
@jwilliams8210
@jwilliams8210 Жыл бұрын
I had trouble understanding that as well, although in fairness to Nicholas, I think his real purpose was to show the process of TF neural network synthesis, as opposed to a real use case of one shot encoding of the columns. I dropped Monthly and Total Charges (and tenure as well) as I did not see any benefit of adding so many columns. Perhaps that was a vestige of an earlier video? Still pretty damn good for 10 minutes...
@Hashindata
@Hashindata Жыл бұрын
I could implement a churn model in rt thanks to Nicholas
@domillima
@domillima 7 ай бұрын
How did you decide number of neurons to include in your sense layers? Do these relate to the number of feature columns in your data set at all? Or just a random/empiric choice?
@yosaikan
@yosaikan 4 жыл бұрын
EXCELLENT tutorial. Thank you..
@NicholasRenotte
@NicholasRenotte 4 жыл бұрын
Awesome stuff @Mohamed, glad you enjoyed it!
@hikmetemre6837
@hikmetemre6837 Жыл бұрын
Cheers mate u are doing brilliant things!
@poe12
@poe12 Жыл бұрын
Subbed! The video is so good!
@vikaspal3384
@vikaspal3384 2 жыл бұрын
To the mark. Keep going!
@petersimon985
@petersimon985 8 ай бұрын
so brilliantly!!! Very unselfish 🙏💐
@aidaisayas3033
@aidaisayas3033 10 ай бұрын
very helpful. made this seem "easy", which it def is not. Thanks!
@emiliocuberos
@emiliocuberos Жыл бұрын
Great video, veeery instructive and useful. ¡Gracias!
@astronaut205
@astronaut205 3 жыл бұрын
Great video.. Only thing that troubled me was the data selection using pandas but I will find out
@NicholasRenotte
@NicholasRenotte 3 жыл бұрын
Awesome! Want to share? Happy to help out!
@carlostasaycosilva7739
@carlostasaycosilva7739 3 жыл бұрын
amazing video easy to understand
@hosseinsafari7514
@hosseinsafari7514 7 ай бұрын
Thank you for the awesome video.
@davidcordova1773
@davidcordova1773 2 жыл бұрын
awesome and simple explanation
@giri41
@giri41 4 ай бұрын
please do a video on how to improve the accuracy
@pranaliudhan5932
@pranaliudhan5932 Жыл бұрын
Yeh,It's Really helpful ,Thank you for the video
@hunsnowboarder02
@hunsnowboarder02 4 жыл бұрын
I love your videos! I have a small problem with this one though. This is rather keras and not tensorflow. With plain tensorflow you need lots more coding (which of course comes with greater flexibility)
@NicholasRenotte
@NicholasRenotte 4 жыл бұрын
Heya, ultimately using Keras with a Tensorflow backend. You still have a lot of flexibility running using the Sequential API, I'd agree though, there is a lot more flexibility using direct tensorflow layers. In my opionion however unless you're creating complex models or performing research it seems like overkill for most use cases.
@blogblocks8370
@blogblocks8370 2 жыл бұрын
What is Customer Churn?
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
Heya, it's to do with predicting customers that are likely to leave your business (e.g. go to another company or stop using your service altogether)!
@ec92009y
@ec92009y 3 жыл бұрын
I had a little trouble getting the CSV file in place. It would have been great to point to the file upload capability in Colab. Other then that, awesome! THX.
@shounsalaji8171
@shounsalaji8171 2 жыл бұрын
absolutly subscribed
@Sayied-s7d
@Sayied-s7d 10 ай бұрын
9:18 you used the sigmoid activation function that outputs 1 or 0 Why the need for the if statement
@ProfQED
@ProfQED 5 ай бұрын
great! thanks dear Nicholas
@mariamissa2458
@mariamissa2458 3 жыл бұрын
wow great and fast ! thank you!
@4XLibelle
@4XLibelle 2 жыл бұрын
Thank you! Excellent! May I ask a dumb question? Is this using a GPU? And do you have any videos on how to use the GPU (if TF doesn't automatically use it)??
@juandiaz0963
@juandiaz0963 2 жыл бұрын
Hi Nick, can you comment which is the business case with this model? What do we want to predict? In which escenario can do we use this model? We got the model and the accuracy_score but then how can we use it? Quite new to Data Science. Thanks.
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
Heya Juan, so churn prediction is a really popular ML task in businesses because it's to do with predicting customers that might leave our company. This is important to get on top of (and ideally try to keep the customer) because it costs a lot more to attract a new customer than to keep an old one!
@longhotsummergames
@longhotsummergames Жыл бұрын
I don't understand these 2 lines from section 0 Import data: ➡ X = pd.get_dummies (df.drop(['Churn', 'Customer ID'], axis=1)) ➡ X_train, X_test, y_train, y_test = train_test_split (X, y, test_size=.2) What's the difference between X_train and X_test?
@reihanehmirjalili7467
@reihanehmirjalili7467 3 жыл бұрын
Thanks for this video Mick. I just think it would be better and more understandable for beginners if you go more into details and explain them more
@NicholasRenotte
@NicholasRenotte 2 жыл бұрын
Doing new vids on that as we speak!!
@bunnybag5197
@bunnybag5197 2 жыл бұрын
Good video mate.
@TigerFitoff
@TigerFitoff 10 ай бұрын
good video. just wish you would've done the MNIST dataset
@jacksonwagner9254
@jacksonwagner9254 3 жыл бұрын
Hi Nicholas great tutorial, I came to youtube after struggling to understand many of the tensorflow tutorials, Im not really following how the testing process is being done I see we have a very large csv but what is the criteria for whether the test was accurate or not
@ganesanganesan5200
@ganesanganesan5200 2 жыл бұрын
Ppp
@ganesanganesan5200
@ganesanganesan5200 2 жыл бұрын
Pplppp
@apositron84
@apositron84 2 жыл бұрын
Fantastic, after watching this video, making a couple of notes, I'm off to apply for an AI job at NASA.
@gustavojuantorena
@gustavojuantorena 4 жыл бұрын
Another great video 👏
@NicholasRenotte
@NicholasRenotte 4 жыл бұрын
Yeayyyahhh, thanks @Gustavo!!
@Felicia-126
@Felicia-126 2 жыл бұрын
Great video!
@randomcomputer7248
@randomcomputer7248 10 ай бұрын
What is the output of this ? Having a number like 0.8 is of no use when I want to see how many have churned. You could just have put a filter on the Excel sheet on the Churn column !
@mahrukhhafeez7398
@mahrukhhafeez7398 Жыл бұрын
I have a question. I have heard that for deep learning models or for computer vision we use Tensorflow or Pytorch. So my question is that please explain to me whether these are some applications like visual studio code or are these some kind of add ons or extensions (packages to install that work on different applications)? Actually I am new in the field. Also what Jupyter Notebook, How is it related to these ?
@ahmedabdelhay634
@ahmedabdelhay634 Жыл бұрын
Tensorflow and Pytorch are just "libraries" to work with DL and to build models and so on Python itself is just the language and it has alot of libraries to use in many other different fields You can write python in a file *.py then run it normally but jupyter notebooks provides easier way to run python code where you can write cells and run them independently so that you can run any part of the code as you want and it's widely used in ML and data science where we tend to do alot of trial and error so we don't need to run the whole code over and over
@jiyanshsonofdr.rajesh8516
@jiyanshsonofdr.rajesh8516 2 жыл бұрын
Great work...
@hangkaj
@hangkaj Жыл бұрын
I really like the summing in the video. but I am stuck here! I get the error "Failed to convert a numpy array to a tensor" I tried.. #import numpy #y_train = torch.from_numpy(y_train.to_numpy()) #for at konvertere fra panda-arrays til numpy-arrays #X_train = torch.from_numpy(X_train) #for at konvertere fra panda-arrays til numpy-arrays from tensorflow import convert_to_tensor #y_train = y_train.to_numpy() #for at konvertere fra panda-arrays til numpy-arrays #X_train = X_train.to_numpy() #for at konvertere fra panda-arrays til numpy-arrays y_train = convert_to_tensor(y_train) X_train = convert_to_tensor(X_train) And I keep getting the same errors now when using the convert_to_tensor() function
@vdeolaliker
@vdeolaliker Жыл бұрын
Do this y_train = np.asarray(y_train).astype('float32') X_train = np.asarray(X_train).astype('float32')
@uberchap6934
@uberchap6934 Жыл бұрын
thank you@@vdeolaliker
@21EC
@21EC 11 ай бұрын
Does it enable to train any kind of task required to achieve? can it learn from it for example how to do videos correctly? (Im a complete total noob in AI so I have no idea)
@LeandroOliveira-kn9qx
@LeandroOliveira-kn9qx Күн бұрын
Very nice, thank you
@negalema9780
@negalema9780 Жыл бұрын
these videos is very good how can i develop data set for deep learning model
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