Check our Deep Learning Course (in PyTorch) with Latest, Industry Relevant Content: tinyurl.com/4p9vmmds Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced
@NeotenicApe3 жыл бұрын
I have just finished the whole series. The way you teach makes everything astoundingly intuitive and simple. You and this channel are treasures. Thank you for the time and effort you've expended doing this. I know you already have a lot of requests, and I would not want to impose more upon you, but, whenever time permits, I would love for you to explain forecasting models with multiple features both theoretically and with TF/Keras. Now, on to your other playlists.
@nguyenminhluong75712 жыл бұрын
Thank u so much, I have been stuck on dataset. prefetch() for 2 days until I found your Video!! Many Thanks!
@codebasics2 жыл бұрын
Glad it helped
@rabadaba7 Жыл бұрын
I love this man! His enthusiasm and charisma is amazing.
@i_amankitgupta3 жыл бұрын
Hello Dear Sir, Please Add more videos I am only following your data Science Road Map and Your Video I have simply Understand. That time I am 3 years in 6 sem. Next year My placement will start so sir Please complete the Deep learning series. Please sir Humble requests to you hurry up to complete the Deep Learning series. You are one of the best teachers on KZbin to simply explain everything.
@codebasics3 жыл бұрын
yes Ankit I am trying. The field is vast and I just dont have enough time but I am on it!
@mayurkumawatmusic3 жыл бұрын
please add more videos sir, your way of explaining concepts is very easy. I watched this whole playlist all 83 videos ❤️
@codebasics3 жыл бұрын
yes I am in the process of making more videos. there are many more exciting videos coming up.. next one is going to be on BERT :) Give me some time I am working on them.
@mayurkumawatmusic3 жыл бұрын
@@codebasics thank you sir 😊
@coolstudios8273 Жыл бұрын
First off, you're channel is so amazing, you're videos are excellent quality and they've helped me learn so much about deep learning, so thank you so much for your hard work and quality content. :D Now 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?
@_Ahmed_O11 ай бұрын
I am so grateful for your help and clear explanation.
@jayminadhikari90163 жыл бұрын
Thank you so much sir for this online Course videos about AI ,, I watched every single video of this playlist !! Really appreciated !
@codebasics3 жыл бұрын
This playlist is not complete. I am still actively uploading videos. Few more videos to go ☺️
@codebasics3 жыл бұрын
Glad it was helpful!
@jayminadhikari90163 жыл бұрын
@@codebasics Sir your explanation skill is really nice and easy to understand .🙏🏻🙏🏻
@ArpitYadav-ws5xe3 жыл бұрын
Great. Excellent video
@תומרמיכאלוביץ2 жыл бұрын
You are amazing ! TY
@mateusbalotin72472 жыл бұрын
Amazing content!!! Thank you very much.
@kasivisweswarreddy14722 ай бұрын
00:00 Optimizing Tensorflow pipeline performance with prefetch and cache 00:04 Optimizing Tensorflow input pipeline performance using prefetch and caching 02:17 Optimize TensorFlow pipeline performance with prefetch & cache 04:46 Optimize TensorFlow performance using cache function 06:59 Optimizing Tensorflow pipeline performance through prefetching and caching 09:28 Optimizing Tensorflow pipeline performance by prefetching and caching. 12:21 Understanding Tensorflow pipeline performance optimization 14:53 Benchmarking the performance of file dataset class with prefetch API 17:29 Using prefetch and cache to optimize Tensorflow pipeline performance 19:29 Optimizing Tensorflow Pipeline Performance with Cache 21:51 Caching the map function in Tensorflow pipeline prevents recomputation 24:21 Improving performance using cache in Tensorflow pipeline
@LaurentLaborde3 жыл бұрын
4:00 I'm very confused at this diagram, you're not calling "batch()" ?
@canoksuzoglu65406 ай бұрын
thank you for great explainatition
@sweetykatam30363 жыл бұрын
Please do vedios on digital image processing
@juanete6911 ай бұрын
When do we need to use .cache() and when .cache().repeat()? Some tutorials say we need the second if we have multiple epochs.
@isitabhoye40813 жыл бұрын
Please , upload video on BERT model also.
@codebasics3 жыл бұрын
yes it is coming up soon
@shubhamtalks97183 жыл бұрын
What is the difference between tf.data.Dataset.map(...) vs tf.data.Dataset.apply(...) ?
@shubhamdamkondwar66333 жыл бұрын
hi i know this is out of he topic question but i wanted to kno Google Data Analytics Professional Certificate is it worth to enroll
@nikhilbapurao12233 жыл бұрын
Hello sir I want to know that the Geospatial analyst role can help me to get data science field in future? Or geospatial analyse experience is beneficial for me in future if I switch into data science? Please reply
@ThePietro12342 жыл бұрын
Hi, thanks for the video, it is very clear! Only one thing I didn't understand: with .cache optimization the data remains in the CPU RAM right? Or the data remains in GPU DRAM? Because even though we talk about caching I doubt that the data remains in cache memory (trivially because cache memory is too small to fit a medium size dataset). Thanks!
@kishanikandasamy3 жыл бұрын
Sir Can you please make a video on how to detect facial expressions using Deep learning
@anandakhan41602 жыл бұрын
helpful.
@shubhamtalks97183 жыл бұрын
What if there is some randomization step in between our pipeline? Should we use prefetch and cache then? Because that randomization step should ideally generate some different result for each epoch.
@suleymanerim21192 жыл бұрын
You should use randomization after you cache . If you do caching after randomization step, then you will be fixing the last output of randomization step and getting the same results for each epoch.
@mawkuri54963 жыл бұрын
this is the last video. can you create a tuts on transformers and deep minds Fictitious Co-Play (FCP)
@gamelords72012 жыл бұрын
in the codebasics website of this video there is no next button. So the course completion status cant be made 100%, its stuck at 98 %
@PriyankaDarshanam3 ай бұрын
My benchmark(FileDataset()), prefetch and autotune are not showing much difference. Its just 278, 282 and 280
@rajmakwana84523 жыл бұрын
Sir I need your help I am so confused 🙏🙏
@himanshuG453 жыл бұрын
Plz have a video on chatbot with flask
@shruti39513 жыл бұрын
when will this course end its almost one year lmao is it never ending ? complete this asap coz then it wont called learning it will be upgradations XD
@gulatiaryan3 жыл бұрын
How to start with AWS
@annperera63523 жыл бұрын
hello sir can you do a video on implementing Adaboost and CART
@ayazpatel1053 жыл бұрын
Hey Can you make a video on RDD and Data frames, if you don't make your system will get corona.
@pafiwachitake33182 жыл бұрын
using autotune is giving back an attribute error, claiming that