Notebooks from Andrew Ng's CNNs Course

Hands-on CS230 deep learning notebooks — exploring neural networks, CNNs, RNNs, optimization, and real-world projects with PyTorch & TensorFlow.

So basically, this repo contains the programming assignments in the repo:https://github.com/debuggermalhotra/Stanford-online-machine-learning written in Python with Jupyter notebooks

This repository contains curated resources, notebooks, and exercise solutions for Machine Learning Specialization course by Stanford Univeristy and DeepLearning.AI (2026) by Prof. Andrew NG

📚 Solution notebooks for Andrew Ng's Machine Learning Specialization on Coursera | Supervised Learning, Neural Networks, Unsupervised Learning, Recommender Systems & Reinforcement Learning | Python, TensorFlow, scikit-learn

5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera

A collection of IPython notebooks covering various topics.

This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.

The machine learning notebook for the course of Andrew Ng

This is my repo for the notebooks from DeepAI classes, and notes from @wan Zhen and @TessFerrandez

Notebook for quick search

📓 Notes for Andrew Ng's courses on deep learning