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Course 1: Neural Networks and Deep Learning
- Week 2 - Programming Assignment 1 - Python Basics with Numpy (Optional)
- Week 2 - Programming Assignment 2 - Logistic Regression with a Neural Network mindset (Optional)
- Week 3 - Programming Assignment 3 - Planar Data Classification with Onehidden Layer
- Week 4 - Programming Assignment 1 - Building your Deep Neural Network: Step by Step
- Week 4 - Programming Assignment 2 - Deep Neural Network for Image Classification: Application
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Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
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Course 3: Convolutional Neural Network
- Week 1 - Programming Assignment 1 - Convolutional Model: step by step
- Week 1 - Programming Assignment 2 - Convolutional Model: Application [utils.py]
- Week 2 - Programming Assignment 1 - Residual Network [utils.py]
- Week 3 - Programming Assignment 1 - Autonomous Driving Application: Car Detection
- Week 4 - Programming Assignment 2 - Face Recognition [fr_utils.py]
- Week 4 - Programming Assignment 2 - Art generation with Neural Style Transfer [nst_utils]
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Course 4: Sequence Models
- Week 1 - Programming Assignment 1 - Building a recurrent neural network
- Week 1 - Programming Assignment 2 - Dinosaur Island - Character - Level Langauge Modelling
- Week 1 - Programming Assignment 3 - Jazz improvisation with LSTM
- Week 2 - Programming Assignment 1 - Operations on word vectors
- Week 2 - Programming Assignment 2 - Emojify [emo_utils]
- Week 3 - Programming Assignment 1 - Neural Machine Translation with Attention [nmt_utils]
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Coursera Deep Learning Specialization by deeplearning.ai taught by Andrew Ng.
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