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Andrew Ng

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  • Created September 29, 2021 by
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Benjamin's Last Day At Katong Swimming Complex

2017
as Young Coach

Hafen der Düfte

2013
as Gang Tung

Captured

2020
as Inspector Lam

Effetto Domino

2019
as Hu

SPL 2: A Time for Consequences

2015
as Uncle On

Do You Trust this Computer?

2018
as Himself

Pound of Flesh

2015
as Father Gabriel

Wan Chai Baby

2011
as Employment Agent

The Universe, UFO: The Real Deal

2011
as Himself

Neural Networks and Deep Learning

as Teacher

The Man with the Iron Fists

2012
as Senior Monk

Stories Forlorn

2014
as The Victim

Yarsagumbu, l'or de l'Himalaya

2011

The Blood Bond

2010
as Master Sun

Deep Learning

2017
as Teacher

Director

Episode Neural Networks and Deep Learning
Vectorization 		1970
Episode Neural Networks and Deep Learning
More Vectorization Examples 		1970
Episode Neural Networks and Deep Learning
Vectorizing Logistic Regression 		1970
Episode Neural Networks and Deep Learning
Vectorizing Logistic Regression's Gradient Output 		1970
Episode Neural Networks and Deep Learning
Broadcasting in Python 		1970
Episode Neural Networks and Deep Learning
A note on python numpy vectors 		1970
Episode Neural Networks and Deep Learning
Quick tour of Jupyter iPython Notebooks 		1970
Episode Neural Networks and Deep Learning
Explanation of logistic regression cost function - optional 		1970
Episode Neural Networks and Deep Learning
Pieter Abbeel interview 		1970
Episode Neural Networks and Deep Learning
Neural Networks Overview 		1970
Episode Neural Networks and Deep Learning
Neural Network Representation 		1970
Episode Neural Networks and Deep Learning
Computing a Neural Network's Output 		1970
Episode Neural Networks and Deep Learning
Vectorizing across multiple examples 		1970
Episode Neural Networks and Deep Learning
Explanation for Vectorized Implementation 		1970
Episode Neural Networks and Deep Learning
Activation functions 		1970
Episode Neural Networks and Deep Learning
Why do you need non-linear activation functions? 		1970
Episode Neural Networks and Deep Learning
Derivatives of activation functions 		1970
Episode Neural Networks and Deep Learning
Gradient descent for Neural Networks 		1970
Episode Neural Networks and Deep Learning
Backpropagation intuition - optional 		1970
Episode Neural Networks and Deep Learning
Random Initialization 		1970
Episode Neural Networks and Deep Learning
Ian Goodfellow interview 		1970
Episode Neural Networks and Deep Learning
Deep L-layer neural network 		1970
Episode Neural Networks and Deep Learning
Forward Propagation in a Deep Network 		1970
Episode Neural Networks and Deep Learning
Welcome 		1970
Episode Neural Networks and Deep Learning
Getting your matrix dimensions right 		1970
Episode Neural Networks and Deep Learning
Why deep representations? 		1970
Episode Neural Networks and Deep Learning
What is a neural network? 		1970
Episode Neural Networks and Deep Learning
Building blocks of deep neural networks 		1970
Episode Neural Networks and Deep Learning
Supervised Learning with Neural Networks 		1970
Episode Neural Networks and Deep Learning
About this Course 		1970
Episode Neural Networks and Deep Learning
Forward and Backward Propagation 		1970
Episode Neural Networks and Deep Learning
Course Resources 		1970
Episode Neural Networks and Deep Learning
Parameters vs Hyperparameters 		1970
Episode Neural Networks and Deep Learning
Geoffrey Hinton interview 		1970
Episode Neural Networks and Deep Learning
What does this have to do with the brain? 		1970
Episode Neural Networks and Deep Learning
Binary Classification 		1970
Episode Neural Networks and Deep Learning
Logistic Regression 		1970
Episode Neural Networks and Deep Learning
Logistic Regression Cost Function 		1970
Episode Neural Networks and Deep Learning
Gradient Descent 		1970
Episode Neural Networks and Deep Learning
Derivatives 		1970
Episode Neural Networks and Deep Learning
More Derivative Examples 		1970
Episode Neural Networks and Deep Learning
Computation graph 		1970
Episode Neural Networks and Deep Learning
Derivatives with a Computation Graph 		1970
Episode Neural Networks and Deep Learning
Logistic Regression Gradient Descent 		1970
Episode Neural Networks and Deep Learning
Gradient Descent on m Examples 		1970

Writer

Episode Neural Networks and Deep Learning
Vectorization 		1970
Episode Neural Networks and Deep Learning
More Vectorization Examples 		1970
Episode Neural Networks and Deep Learning
Vectorizing Logistic Regression 		1970
Episode Neural Networks and Deep Learning
Vectorizing Logistic Regression's Gradient Output 		1970
Episode Neural Networks and Deep Learning
Broadcasting in Python 		1970
Episode Neural Networks and Deep Learning
A note on python numpy vectors 		1970
Episode Neural Networks and Deep Learning
Quick tour of Jupyter iPython Notebooks 		1970
Episode Neural Networks and Deep Learning
Explanation of logistic regression cost function - optional 		1970
Episode Neural Networks and Deep Learning
Pieter Abbeel interview 		1970
Episode Neural Networks and Deep Learning
Neural Networks Overview 		1970
Episode Neural Networks and Deep Learning
Neural Network Representation 		1970
Episode Neural Networks and Deep Learning
Computing a Neural Network's Output 		1970
Episode Neural Networks and Deep Learning
Vectorizing across multiple examples 		1970
Episode Neural Networks and Deep Learning
Explanation for Vectorized Implementation 		1970
Episode Neural Networks and Deep Learning
Activation functions 		1970
Episode Neural Networks and Deep Learning
Why do you need non-linear activation functions? 		1970
Episode Neural Networks and Deep Learning
Derivatives of activation functions 		1970
Episode Neural Networks and Deep Learning
Gradient descent for Neural Networks 		1970
Episode Neural Networks and Deep Learning
Backpropagation intuition - optional 		1970
Episode Neural Networks and Deep Learning
Random Initialization 		1970
Episode Neural Networks and Deep Learning
Ian Goodfellow interview 		1970
Episode Neural Networks and Deep Learning
Deep L-layer neural network 		1970
Episode Neural Networks and Deep Learning
Forward Propagation in a Deep Network 		1970
Episode Neural Networks and Deep Learning
Welcome 		1970
Episode Neural Networks and Deep Learning
Getting your matrix dimensions right 		1970
Episode Neural Networks and Deep Learning
Why deep representations? 		1970
Episode Neural Networks and Deep Learning
What is a neural network? 		1970
Episode Neural Networks and Deep Learning
Building blocks of deep neural networks 		1970
Episode Neural Networks and Deep Learning
Supervised Learning with Neural Networks 		1970
Episode Neural Networks and Deep Learning
Forward and Backward Propagation 		1970
Episode Neural Networks and Deep Learning
About this Course 		1970
Episode Neural Networks and Deep Learning
Course Resources 		1970
Episode Neural Networks and Deep Learning
Parameters vs Hyperparameters 		1970
Episode Neural Networks and Deep Learning
Geoffrey Hinton interview 		1970
Episode Neural Networks and Deep Learning
What does this have to do with the brain? 		1970
Episode Neural Networks and Deep Learning
Binary Classification 		1970
Episode Neural Networks and Deep Learning
Logistic Regression 		1970
Episode Neural Networks and Deep Learning
Logistic Regression Cost Function 		1970
Episode Neural Networks and Deep Learning
Gradient Descent 		1970
Episode Neural Networks and Deep Learning
Derivatives 		1970
Episode Neural Networks and Deep Learning
More Derivative Examples 		1970
Episode Neural Networks and Deep Learning
Computation graph 		1970
Episode Neural Networks and Deep Learning
Derivatives with a Computation Graph 		1970
Episode Neural Networks and Deep Learning
Logistic Regression Gradient Descent 		1970
Episode Neural Networks and Deep Learning
Gradient Descent on m Examples 		1970

Guest Star

Episode Neural Networks and Deep Learning
Welcome 		1970