- Deep Learning specialization offered by
deeplearning.ai
. - Instructor: Andrew Ng
- This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Deep Learning Specialization on Coursera, unless specified otherwise.
- Week 2 - PA 1 - Python Basics with Numpy
- Week 2 - PA 2 - Logistic Regression with a Neural Network mindset
- Week 3 - PA 3 - Planar data classification with one hidden layer
- Week 4 - PA 4 - Building your Deep Neural Network: Step by Step
- Week 4 - PA 5 - Deep Neural Network for Image Classification: Application
- Week 1 - PA 1 - Initialization
- Week 1 - PA 2 - Regularization
- Week 1 - PA 3 - Gradient Checking
- Week 2 - PA 4 - Optimization Methods
- Week 3 - PA 5 - TensorFlow Tutorial
- There are no PAs for this course. But this course comes with very interesting case study quizzes (below).
- Week 1 - PA 1 - Convolutional Model: step by step
- Week 1 - PA 2 - Convolutional Neural Networks: Application
- Week 2 - PA 1 - Keras - Tutorial - Happy House
- Week 2 - PA 2 - Residual Networks
- Week 3 - PA 1 - Car detection with YOLO for Autonomous Driving
- Week 4 - PA 1 - Art Generation with Neural Style Transfer
- Week 4 - PA 2 - Face Recognition
- Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
- Week 1 - PA 2 - Dinosaur Land -- Character-level Language Modeling
- Week 1 - PA 3 - Jazz improvisation with LSTM
- Week 2 - PA 1 - Word Vector Representation and Debiasing
- Week 2 - PA 2 - Emojify!
- Week 3 - PA 1 - Neural Machine Translation with Attention
- Week 3 - PA 2 - Trigger Word Detection
Credits to Mahmoud Badry for the unofficial lecture notes.