Deep Learning Specialization on Coursera
Master Deep Learning, and Break into AI
Instructor: Andrew Ng
This repo contains all my programming assignments. I transcripted all the problems to google colab to being everything more reproducible.
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)
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)
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)
Object detection (Week03)
Face recognition & Neural style transfer (Week04)
Art generation with Neural Style Transfer
Face Recognition for the Happy House
Run in Google Colab
View source on GitHub