Please enable JavaScript.
Coggle requires JavaScript to display documents.
Neural Networks and Deep Learning (WEEK 1 (Introduction to deep learning…
Neural Networks and Deep Learning
WEEK 1
Introduction to deep learning
What is a (Neural Network) NN?
Supervised learning with neural networks
Why is deep learning taking off?
WEEK 2
Neural Networks Basics
Logistic regression
Logistic regression cost function
Gradient Descent
Derivatives
More Derivatives examples
Computation graph
Derivatives with a Computation Graph
Logistic Regression Gradient Descent
Gradient Descent on m Examples
Vectorization
Vectorizing Logistic Regression
Notes on Python and NumPy
General Notes
Binary classification
WEEK 3
Shallow neural networks
Neural Networks Overview
Neural Network Representation
Computing a Neural Network's Output
Vectorizing across multiple examples
Activation functions
Why do you need non-linear activation functions?
Derivatives of activation functions
Gradient descent for Neural Networks
Random Initialization
Explanation for Vectorized Implementation
WEEK 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
Parameters vs Hyperparameters
What does this have to do with the brain