Introduction to Deep Learning-Welcome to the Deep Learning Specialization
Welcome
()
Introduction to Deep Learning-Introduction to Deep Learning
What is a Neural Network?
()
Supervised Learning with Neural Networks
()
Why is Deep Learning taking off?
()
About this Course
()
Frequently Asked Questions
Introduction to Deep Learning-Lecture Notes (Optional)
Lectures in PDF
Introduction to Deep Learning-Heroes of Deep Learning (Optional)
Geoffrey Hinton Interview
()
Neural Networks Basics-Logistic Regression as a Neural Network
Binary Classification
()
Logistic Regression
()
Logistic Regression Cost Function
()
Connect with your Mentors and Fellow Learners on Discourse!
Gradient Descent
()
Derivatives
()
More Derivative Examples
()
Computation Graph
()
Derivatives with a Computation Graph
()
Logistic Regression Gradient Descent
()
Gradient Descent on m Examples
()
Derivation of DL/dz (Optional)
Neural Networks Basics-Python and Vectorization
Vectorization
()
More Vectorization Examples
()
Clarification of "dz"
Vectorizing Logistic Regression
()
Vectorizing Logistic Regression's Gradient Output
()
Broadcasting in Python
()
A Note on Python/Numpy Vectors
()
Quick tour of Jupyter/iPython Notebooks
()
Explanation of Logistic Regression Cost Function (Optional)
()
Neural Networks Basics-Lecture Notes (Optional)
Lectures in PDF
Neural Networks Basics-Programming Assignments
Deep Learning Honor Code
Programming Assignment FAQ
How to Download your Notebook
How to Refresh your Workspace
Neural Networks Basics-Heroes of Deep Learning (Optional)
Pieter Abbeel Interview
()
Shallow Neural Networks-Shallow Neural Network
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 (Optional)
()
Random Initialization
()
Shallow Neural Networks-Lecture Notes (Optional)
Lectures in PDF
Shallow Neural Networks-Heroes of Deep Learning (Optional)
Ian Goodfellow Interview
()
Deep Neural Networks-Deep Neural Network
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
()
Parameters vs Hyperparameters
()
Clarification: What does this have to do with the brain?
What does this have to do with the brain?
()
Deep Neural Networks-Lecture Notes (Optional)
Lectures in PDF
Deep Neural Networks-Programming Assignments
Confusing Output from the AutoGrader
Deep Neural Networks-References & Acknowledgments
References
Acknowledgments