Introduction to Deep Learning - About this Course

This is the notes when study the course "Neural Networks and Deep Learning", week 1 "Introduction to Deep Learning", by Andrew Ng.

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Followings are the five courses of this specialization:

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regulization and Optimization
3. Structuring your Machine Learning project
4. Convolutional Neural Networks
5. Natural Langurage Processing: Building sequence models

The first course teaches you the most important foundations of deep learning. By the end of the first couse, you know how to build and get to work  a deep neural network.

And followings are the details of what is in this first course:

• Week 1: Introduction to Deep Learning
• Week 2: Basics of Neural Network programming
• Week 3: One hidden layer Neural Networks
• Week 4: Deep Neural Networks

In week 2, you'll learn the forward propagation and the back propagation steps of the algorithm. And how to implement neural networks efficiently. Starting from the second week, you also get to do a programming exercise, that lets you practice the material you've just learned. In week 3, you code up a single hidden layer neural network. So you learn about all the key concepts needed to implement and get to work in neural network. Finally in week 4, you build a deep neural network with many layers.