Repo with the coding examples of the Coursera Deep Learning Specialization by Stanford University adjunct professors Andrew Ng and Kian Katanforoosh and teaching assistant Younes Bensouda Mourri.
- Course 1: Neural Networks and Deep Learning
- Course 2: Improving Deep Neural Networks
- Course 3: Structuring Machine Learning Projects
- Course 4: Convolutional Neural Networks
- Course 4 Notes
- PA week 1: Convolution model Step by Step
- PA week 1: Convolution model Application
- PA week 2: Keras Tutorial Happy House
- PA week 2: Residual Networks
- PA week 3: Autonomous driving application - Car detection
- PA week 4: Art Generation with Neural Style Transfer
- PA week 4: Face Recognition for the Happy House
- Course 5: Sequence Models
- Course 5 Notes
- PA week 1: Building a Recurrent Neural Network Step by Step
- PA week 1: Dinosaur Island Character level language model
- PA week 1: Improvise a Jazz Solo with an LSTM Network
- PA week 2: Operations on word vectors
- PA week 2: Emojify
- PA week 3: Neural machine translation with attention
- PA week 3: Trigger word detection
Handmade notes contributed by Tess Ferrandez, some notes contributed by Gianluca Mauro and some by Mahmoud Badry