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Deep Learning Specialization
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Course Syllabus

Neural Networks and Deep Learning

Module 1: Introduction to Deep Learning

Module 2: Neural Networks Basics

Module 3: Shallow Neural Networks

Neural Networks Overview

Neural Network Representation

Computing a Neural Network's Output

Vectorizing Across Multiple Examples

Explanation for Vectorized Implementation

Activation Functions

Why do you need Non-Linear Activation Functions?

Derivatives of Activation Functions

Gradient Descent for Neural Networks

Backpropagation Intuition

Random Initialization

Module 4: Deep Neural Networks

Deep Learning Specialization

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Deep Learning Specialization

Intermediate

Topics

Computer VisionDeep LearningNLPSupervised LearningTransformers

Collaborator

DeepLearning.AI

Module 3: Shallow Neural Networks

- Lecture Notes W3
  Reading
  ・
  1m
- Shallow Neural Networks
  Graded・Quiz
  ・
  50m
- Planar Data Classification with One Hidden Layer
  Graded・Code Assignment
  ・
  3h
- Ian Goodfellow Interview
  Video
  ・
  14m
Next
Module 4: Deep Neural Networks

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