Deep-Learning

Master Deep Learning, and Break into AI

Instructor: Andrew Ng

Introduction

This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.

What I want to say

Neural Networks and Deep Learning

• [Week 2 - PA 1 - Logistic Regression with a Neural Network mindset]
• [Week 3 - PA 2 - Planar data classification with one hidden layer]
• [Week 4 - PA 3 - Building your Deep Neural Network: Step by Step¶]
• [Week 4 - PA 4 - Deep Neural Network for Image Classification: Application]

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

• [Week 1 - PA 1 - Initialization]
• [Week 1 - PA 2 - Regularization]
• [Week 1 - PA 3 - Gradient Checking]
• [Week 2 - PA 4 - Optimization Methods]
• [Week 3 - PA 5 - TensorFlow Tutorial]

Structuring Machine Learning Projects

• There is no PA for this course. But this course comes with very interesting case study quizzes.

Convolutional Neural Networks

• [Week 1 - PA 1 - Convolutional Model: step by step]
• [Week 1 - PA 2 - Convolutional Model: application]
• [Week 2 - PA 1 - Keras - Tutorial - Happy House]
• [Week 2 - PA 2 - Residual Networks]

Sequence Models

• [Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step]
• [Week 1 - PA 2 - Character level language model - Dinosaurus land]