Lectures related to Modern Convolutional Networks and Image Recognition

Related lectures (32)

Covers the implementation of fully connected neural networks on two datasets using PyTorch.

Explores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.