Machine Learning with Phil explores how to write modular convolutional neural networks in Pytorch. This will make our code more maintainable, more extensible, and more professional looking.

Machine Learning with Phil explores how to write modular convolutional neural networks in Pytorch. This will make our code more maintainable, more extensible, and more professional looking.
Here’s an interesting data visualization of neural networks that have been trained on the MNIST data set. All set to catchy music.
3Blue1Brown has a great video exploring neural networks and the important role that gradient descent plays in machine learning.