Deep Learning Specialization - Coursera

Course 1 - Neural Networks and Deep Learning

Notes

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Assignments

1. Week 2
   • 01 - Python Basics with Numpy
   • 02 - Logistic Regression as a Neural Network
2. Week 3
   • 02 - Planar Data Classification with One Hidden Layer
3. Week 4
   • 01 - Building your Deep Neural Network - Step by Step
   • 02 - Deep Neural Network Application - Image Classification

Course 2 - Hyperparameters, Regularization, and Optimization

Notes

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Assignments

1. Week 1
   • 01 - Initialization
   • 02 - Regularization
   • 03 - Gradient Checking
2. Week 2
   • 01 - Optimization Methods

Course 3 - Structuring ML Projects

Notes

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Course 4 - Convolutional Neural Networks and Computer Vision

Notes (IN PROGRESS)

Assignments

1. Week 1
   • 01 - Convolution Model - Step by Step
   • 02 - Convolution Model - Application (Done with Keras instead of the old Tensorflow 1.0)