Deep Learning Specialization by Andrew Ng on Coursera.
Course 1: Neural Networks and Deep Learning
- Week 2 - Logistic Regression with a Neural Network mindset
- Week 3 - Planar data classification with one hidden layer
- Week 4 - Building your Deep Neural Network: Step by Step
- Week 4 - Deep Neural Network for Image Classification: Application
Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Week 1 - Initialization
- Week 1 - Regularization
- Week 1 - Gradient Checking
- Week 2 - Optimization
- Week 3 - Tensorflow
Course 4: Convolutional Neural Networks
- Week 1 - Convolutional Model: step by step
- Week 1 - Convolutional model: application
- Week 2 - Keras Tutorial - The Happy House
- Week 2 - Deep convolutional models: case studies - Residual Networks
- Week 3 - Object detection - Car detection
- Week 4 - Art generation with Neural Style Transfer
- Week 4 - Face Recognition for the Happy House
Course 5: Sequence Models
- Week 1 - Building your Recurrent Neural Network - Step by Step
- Week 1 - Character level language model - Dinosaurus land
- Week 1 - Improvise a Jazz Solo with an LSTM Network
- Week 2 - Operations on word vectors - Debiasing
- Week 2 - Emojify
- Week 3 - Neural Machine Translation with Attention
- Week 3 - Trigger Word Detection