Neural Networks: Two Layers Neural Network

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

Covers advanced numerical analysis topics including deep neural networks and optimization methods.