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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

Binary Classification

Logistic Regression

Logistic Regression Cost Function

Gradient Descent

More Derivative Examples

Computation Graph

Derivatives with a Computation Graph

Logistic Regression Gradient Descent

Gradient Descent on m Examples

Derivation of DL/dz

Module 3: Shallow Neural Networks

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 2: Neural Networks Basics

- Lecture Notes W2
  Reading
  ・
  1m
- Neural Network Basics
  Graded・Quiz
  ・
  50m
- Pieter Abbeel Interview
  Video
  ・
  16m
Next
Module 3: Shallow Neural Networks

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