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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

Module 4: Deep Neural Networks

Deep L-layer Neural Network

Forward Propagation in a Deep Network

Getting your Matrix Dimensions Right

Why Deep Representations?

Building Blocks of Deep Neural Networks

Forward and Backward Propagation

Optional Reading: Feedforward Neural Networks in Depth

Parameters vs Hyperparameters

Clarification For: What does this have to do with the brain?

What does this have to do with the brain?

Deep Learning Specialization

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Deep Learning Specialization

Intermediate

Topics

Computer VisionDeep LearningNLPSupervised LearningTransformers

Collaborator

DeepLearning.AI

Module 4: Deep Neural Networks

- Lecture Notes W4
  Reading
  ・
  1m
- Key Concepts on Deep Neural Networks
  Graded・Quiz
  ・
  50m
- [IMPORTANT] Reminder about end of access to Lab Notebooks
  Reading
  ・
  2m
- References
  Reading
  ・
  10m
- Acknowledgments
  Reading
  ・
  10m
Next in the Professional Certificate
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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