Deep Learning Specialization on Coursera

Introduction

¿What is colab?

Course 01: Neural Networks and Deep Learning

Logistic Regression (Week02)

Shallow Neural Networks (Week03)

Deep Neural Networks - Building (Week04)

Deep Neural Networks - Application (Week04)

Course 02: Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

Practical aspects of Deep Learning (Week01)

Gradient Checking

Initialization

Regularization

Optimization algorithms (Week02)

Hyperparameter tuning, Batch Normalization and Programming Frameworks (Week03)

Course 03: Structuring Machine Learning Projects

Course 04: Convolutional Neural Networks

Foundations of Convolutional Neural Networks (Week01)

Foundations of Convolutional Neural Networks (Week01)

Deep convolutional models: case studies (Week02)

Keras Tutorial - The Happy House (not graded)

Residual Networks

Object detection (Week03)

Face recognition & Neural style transfer (Week04)

Art generation with Neural Style Transfer

Face Recognition for the Happy House