This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

A repository that contains all my work for deep learning specialization on coursera. This repository contains the programming assignments from the deep learning course from coursera offered by deeplearning.ai

My Python solutions for the assignments in the machine learning class by andrew ng on coursera.

Python Machine Learning Deep Neural Network implementation written from scratch with no dependencies. For fun and learning.

Neural Network Deep learning specialization course offered via Coursera

A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

Improving Deep Neural Networks coding assignments

Gradient Checking: Demonstrates 1D and ND gradient checking techniques to verify the accuracy of gradients in neural networks. Inspired by DeepLearning.AI's Deep Learning Specialization.