꩜ DNN

This course teaches you deep neural networks from scratch. It starts with Linear Regression and Logistic Regression as foundations to the simplest possible deep learning model. I then gradually build shallow neural networks to deep neural networks. This is followed by gradients calculation, optimization by gradient descent, back propagation using Numpy. Finally other optimization techniques and entire deep learning training procedure is  explained with PyTorch. 20 Practice Problems + 1 Project are attached here. Please inform me of errors.