Deep Learning & Neural Nets Mathematical Derivations-Part-1
Ditulis pada: November 08, 2019
Free Coupon Disocunt - Deep Learning & Neural Nets Mathematical Derivations-Part-1, Learn Both Concepts & Complex Math Derivations For Neural Networks !
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Created by Ahmed Fathy Hagar
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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
