College Level Neural Nets [I] - Basic Nets: Math & Practice!

Learn Concepts, Intuitions & Complex Mathematical Derivations For Neural Networks and deep learning !
4.62 (51 reviews)
Udemy
platform
English
language
Data Science
category
Ahmed Fathy, MSc
instructor
College Level Neural Nets [I] - Basic Nets: Math & Practice!
850
students
13.5 hours
content
Nov 2020
last update
$64.99
regular price

What you will learn

Step By Step Conceptual Introduction For Neural Networks And Deep Learning [Even If You Are A Beginner]

Understanding The Basic Perceptron[Neuron] Conceptually, Graphically, And Mathematically - Perceptron Convergence Theorem Proof

Mathematical Derivations For Deep Learning Modules

Step-By-Step Derivation Of BackPropagation Algorithm

Vectorization Of BackPropagation

Different Performance Metrics Like Performance - Recall - F1 Score - ROC & AUC

Mathematical Derivation Of Cross-Entropy Cost Function

Mathematical Derivation Of Back-Propagation Through Batch-Normalization

Different Solved Examples On Various Topics

Screenshots

College Level Neural Nets [I] - Basic Nets: Math & Practice! - Screenshot_01College Level Neural Nets [I] - Basic Nets: Math & Practice! - Screenshot_02College Level Neural Nets [I] - Basic Nets: Math & Practice! - Screenshot_03College Level Neural Nets [I] - Basic Nets: Math & Practice! - Screenshot_04
Related Topics
2607504
udemy ID
10/15/2019
course created date
11/1/2019
course indexed date
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