Andrew Ng's Deep Learning (including topics like Machine Translation with GRU Attention, Car Detection with YOLO, Face Recognition with Siamese)
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Course 1: Neural Networks and Deep Learning
- Week 2 - PA 1 - Logistic Regresssion as a Neural Network
- Week 2 - PA 2 - Python Basics with Numpy
- Week 3 - PA 1 - Planar data classification with one hidden layer
- Week 4 - PA 1 - Building your Deep Neural Network Step by Step
- Week 4 - PA 2 - Deep Neural Network Application_Image Classification
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Course 2: Improving Neural Networks
- Week 1 - PA 1 - Gradient Checcking
- Week 1 - PA 2 - Regularisation
- Week 1 - PA 3 - Initialization
- Week 2 - PA 1 - Optimization Methods
- Week 3 - PA 1 - Tensorflow Tutorial
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Course 3: Structuring Machine Learning Projects
- No Coding Assignments, but the Quiz problems are from 2 real interesting study cases
- Week 1 - Case 1 - Bird recognition in the city of peacetopia
- Week 2 - Case 2 - Autonomous driving
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Course 4: Convolutional Neural Networks
- Week 1 - PA 1 - Convolutional Model: Build step by step
- Week 1 - PA 2 - Convolutional Model: Application
- Week 2 - PA 1 - Keras Tutorial
- Week 2 - PA 2 - ResNets
- Week 3 - PA 1 - Car Detection for Autonomous Driving
- Week 4 - PA 1 - Face Recognition
- Week 4 - PA 2 - Neural Style Transfer
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Course 5: Sequence Models
- Week 1 - PA 1 - Building a RNN step by step
- Week 1 - PA 2 - Dinosaur Island
- Week 1 - PA 3 - Jazz Imrpovisation with LSTM
- Week 2 - PA 1 - Emojify
- Week 2 - PA 2 - Word Vector Representation
- Week 3 - PA 1 - Machine Translation
- Week 3 - PA 2 - Trigger Word Detection