Master Machine/Deep Learning, and Break into AI
Instructor: Andrew Ng
This repository contains the solutions to all the Machine Learning and Deep Learning courses I have taken in Coursera.
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Course 1: Neural Networks and Deep Learning
- Week 2 - PA 0 - Python Basics With Numpy(optional)
- Week 2 - PA 1 - Logistic Regression with a Neural Network mindset
- Week 3 - PA 2 - Planar data classification with one hidden layer
- Week 4 - PA 3 - Building your Deep Neural Network: Step by Step
- Week 4 - PA 4 - 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 4: Convolutional Neural Networks
- Week 1 - PA 1 - Convolution model - Step by Step
- Week 1 - PA 2 - Convolution model - Application
- Week 2 - PA 3 - Keras - Tutorial - Happy House
- Week 2 - PA 4 - Residual Networks
- Week 3 - PA 5 - Autonomous driving application Car detection
- Week 4 - PA 6 - Face Recognition for the Happy House
- Week 4 - PA 7 - Art Generation with Neural Style Transfer
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Course 5: Sequence Models
- Week 1 - PA 1 - Building your Recurrent Neural Network - Step by Step
- Week 1 - PA 2 - Character level language model - Dinosaurus land
- Week 1 - PA 3 - Improvise a Jazz Solo with an LSTM Network
- Week 2 - PA 4 - Operations on word vectors
- Week 2 - PA 5 - Emojify!
- Week 3 - PA 6 - Neural Machine Translation
- Week 3 - PA 7 - Trigger Word Detection
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Course 1: Neural Networks and Deep Learning
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Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization