Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI

Instructor: Andrew Ng

Introduction

This repo contains all my programming assignments. I transcripted all the problems to google colab to being everything more reproducible.

¿What is colab?

Google colab is a free cloud service (jupyter as service) with GPU and TPU support.

Course 01: Neural Networks and Deep Learning

Logistic Regression (Week02)

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Shallow Neural Networks (Week03)

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Deep Neural Networks - Building (Week04)

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Deep Neural Networks - Application (Week04)

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

Practical aspects of Deep Learning (Week01)

Gradient Checking

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Initialization

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Regularization

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Optimization algorithms (Week02)

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Hyperparameter tuning, Batch Normalization and Programming Frameworks (Week03)

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Course 03: Structuring Machine Learning Projects

Course 04: Convolutional Neural Networks

Foundations of Convolutional Neural Networks (Week01)

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Foundations of Convolutional Neural Networks (Week01)

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Deep convolutional models: case studies (Week02)

Keras Tutorial - The Happy House (not graded)

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Residual Networks

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Object detection (Week03)

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Face recognition & Neural style transfer (Week04)

Art generation with Neural Style Transfer

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Face Recognition for the Happy House

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