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Deep Learning With PyTorch – Full Course



Patrick Loeber

In this course you learn all the fundamentals to get started with PyTorch and Deep Learning.
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Code: https://github.com/patrickloeber/pytorchTutorial
Playlist with single videos: https://www.youtube.com/watch?v=EMXfZB8FVUA&list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4

Dataset for Transfer Learning tutorial: https://download.pytorch.org/tutorial/hymenoptera_data.zip

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#Python #PyTorch

Timeline:
00:00 – Intro
01:42 – 1 Installation
07:30 – 2 Tensor Basics
26:02 – 3 Autograd
42:00 – 4 Backpropagation
55:18 – 5 Gradient Descent
1:12:53 – 6 Training Pipeline
1:27:14 – 7 Linear Regression
1:39:30 – 8 Logistic Regression
1:57:56 – 9 Dataset and Dataloader
2:13:28 – 10 Dataset Transforms
2:24:14 – 11 Softmax and Crossentropy
2:42:36 – 12 Activation Functions
2:52:40 – 13 Feed Forward Net
3:14:18 – 14 CNN
3:36:30 – 15 Transfer Learning
3:51:30 – 16 Tensorboard
4:17:14 – 17 Save & Load Models

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21 thoughts on “Deep Learning With PyTorch – Full Course
  1. I hope you enjoy the course 🙂
    And check out Tabnine, the FREE AI-powered code completion tool that helps you to code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer *

    ———————————————————————————————————-
    * This is a sponsored link. You will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏

  2. This is the best course on this topic I've seen so far. It is perfect when you want to understand what you're doing and the way things are brought is very pedagogic.

  3. Don't EVER have _ in a variable name. Those are supposed to be reserved for functions. Also no variable should start with a capital letter unless global, in which case all caps. Capital letter indicates a class. I really don't care what machine learning conventions may be. For me personally, my ability to code is highly dependant on knowing what is what easily and without having to memorize stuff.

  4. 1:42:10 Is there a reason you used `X, y` instead of `X, Y`? I believe it should `Y` as we're dealing with a tensor of dependent variables right? It would be `y` if we were dealing with a scalar though

  5. Excuse me, can I ask where is the dataset 'data/hymenoptera_data' from? I didn't find it in your Github source files. Thanks a lot!

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