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Deep Learning and Neural Networks - Complete BootCamp [2020]

Coupon Code: 29BB929A6484C013E923(copy to clipboard)

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Master Deep Learning and Neural Networks from Scratch

What does this course teach you?

Introduction
What are Neural Networks
Types and Applications of Neural Networks
Supervised Learning Why is deep learning getting popular now?
Neural Networks Basics
Binary Classification Logistic Regression Logistic Regression Cost Function Gradient Descent Algorithm Derivatives - part 1 Derivatives - part 2 Derivatives - part 3 (Sum Rule) Derivatives - part 4 (Derivative of exponential function) Derivatives - part 5 (Product Rule) Derivatives - part 6 (Quotient Rule) Computation Graph Derivatives with Computation Graph - Backpropagation Logistic Regression Gradient Descent Gradient Descent on m Examples
Vectorization
Vectorization More Vectorization examples using NumPy Vectorizing Logistic regression Forward Propagation Vectorizing Logistic regression Backpropagation
NumPy Quickstart Guide
NumPy - Overview Creating NumPy arrays linspace(), zeros() and ones() Indexing Arrays Slicing NumPy Arrays Broadcasting NumPy Arrays
Shallow Neural Networks
One Hidden Layer Neural Network Neural Network Representation Neural Network Computation Vectorizing computations across training examples Activation Functions

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