-->
Deep Learning & Neural Nets Mathematical Derivations-Part-1

Deep Learning & Neural Nets Mathematical Derivations-Part-1

Deep Learning & Neural Nets Mathematical Derivations-Part-1
Free Coupon Disocunt - Deep Learning & Neural Nets Mathematical Derivations-Part-1, Learn Both Concepts & Complex Math Derivations For Neural Networks !
HOT & NEW
Created by Ahmed Fathy Hagar
English
English [Auto-generated]

PREVIEW THIS COURSE - GET COUPON CODE

What you'll 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

Also read:

Blogger
Disqus
Select Comment System
-->