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Introduction to Deep Learning
What is Deep Learning
Download Resources
Why Deep Learning
History of Deep Learning
Applications of Deep Learning
Overview of Deep Learning
Building Blocks: Perceptron
Weighted Sum Operation
Mathemetic Representation
Course Review
Building Blocks: Activation Functions
Introduction to Activation Function
Threshold Step Funtion
Logistic Sigmoid Function
Rectified Linear Unit Function
Hyperbolic Tangent Functon
Building Blocks: Optimization
Introduction to Deep Neural
Gradient Descent Optimization
Gradient Descent Update Rule
Varients of Gradient Descent
Building Blocks: Backpropagation
Backpropagation Intuition
Getting Metrix Dimensions Right