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
