A few links and resources for people who want to learn ML.
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https://www.youtube.com/watch?v=c36lUUr864M - Full tutorial on Pytorch.
- Timeline: 00:00 - Introduction 01:42 - 1 Installation 07:30 - 2 Tensor Basics 26:02 - 3 Autograd 42:00 - 4 Regression 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 Data set transformations 2:24:14 - 11 Softmax and cross entropy 2:42:36 - 12 Activation functions 2:52:40 - 13 Forward network 3:14:18 - 14 CNN 3:36:30 - 15 Transfer learning 3:51:30 - 16 tensor board 4:17:14 - 17 Save and load models
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https://www.youtube.com/watch?v=BzcBsTou0C0&list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh (Sentdex Playlist) - In-depth explanation of training a Pytorch model. (Not necessary if you have seen the previous video).
- https://www.youtube.com/watch?v=PJl4iabBEz0&list=PLqnslRFeH2UrDh7vUmJ60YrmWd64mTTKV&index=1 Playlist (From Scratch by making a game in Pygame) - You will also learn python better in this playlist (e.g. OOP, Logic, RL...) Recommended
- https://www.youtube.com/watch?v=Mut_u40Sqz4 - Another great video
- https://gym.openai.com/ - (https://gym.openai.com/envs/ for environments) Openai Gym link - Games/Envs to train your RF models on
Remember: Be curious and try to find out more about topics that interest you/topics that are unclear to you!