Jan 15:

• Completed reading Appendix A about pytorch.
• I will experiment with the given code for sometime.
• I will be starting the first chapter.

Jan 10:

• got a hands on coding the setting up efficient data loaders section of pytorch appendix

Jan 8:

• Setting up efficient data loaders
• read the above part and started reading the next part about the training loop
• but i was sleepy while reading. so i will re-read with focus again
• i will setup the env in another laptop and test once

Jan 6:

• Read Implementing multilayer neural networks
• Started on the next chapter about dataset and dataloaders
• I will continue tomorrow

Jan 5:

• Completed A.4 Automatic differentiation made easy section
• Read a bit on Implementing multi layer neural networks. I will re-read to grasp concepts more accurately.
• While reading about autograd, I get to know more about derivatives, partial derivatives, slop and such things.
• Learned about gradients, gradient descent also.