Machine Learning™ – Neural NetWorks From Scratch [Python]

     

Machine Learning™ – Neural Networks from Scratch [Python]
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.06 GB

Learn Hopfield networks and neural networks (and back-propagation) theory and implementation in Python

What you’ll learn

Hopfield neural networks theory
Hopfield neural network implementation in Python
Neural neural networks theory
Neural networks implementation
Loss functions
Gradient descent and back-propagation algorithms

Requirements

Very basic Python

Description

Section 1:

what are Hopfield neural networks

modeling the human brain

the big picture behind Hopfield neural networks

Section 2:

Hopfield neural networks implementation

auto-associative memory with Hopfield neural networks

Section 3:

what are feed-forward neural networks

modeling the human brain

the big picture behind neural networks

Section 4:

feed-forward neural networks implementation

gradient descent with back-propagation

Who this course is for:

Beginner Python developers curious about data science

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