YoVDO

Neural Networks Demystified

Offered By: YouTube

Tags

Neural Networks Courses Gradient Descent Courses Data Processing Courses Network Architecture Courses Overfitting Courses Backpropagation Courses

Course Description

Overview

This course introduces and tries to demystify neural networks with some small videos explaining topics such as gradient descent, forward propagation and back propagation and overfitting.


Syllabus

Neural Networks Demystified [Part 1: Data and Architecture].
Neural Networks Demystified [Part 2: Forward Propagation].
Neural Networks Demystified [Part 3: Gradient Descent].
Neural Networks Demystified [Part 4: Backpropagation].
Neural Networks Demystified [Part 5: Numerical Gradient Checking].
Neural Networks Demystified [Part 6: Training].
Neural Networks Demystified [Part 7: Overfitting, Testing, and Regularization].


Taught by

Welch Labs

Related Courses

Practical Machine Learning
Johns Hopkins University via Coursera Practical Deep Learning For Coders
fast.ai via Independent 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
National Taiwan University via Coursera Data Analytics Foundations for Accountancy II
University of Illinois at Urbana-Champaign via Coursera Entraînez un modèle prédictif linéaire
CentraleSupélec via OpenClassrooms