Free Download College Level Neural Nets [I] - Basic Nets: Math & Practice!, with this course you will have the option to Learn Concepts, Intuitions & Complex Mathematical Derivations For Neural Networks and deep learning !. It contains 83 recordings. Remember that numerous understudies are tried out this course College Level Neural Nets [I] - Basic Nets: Math & Practice!, so don't hold on to download it presently, it's totally free. You can start learning College Level Neural Nets [I] - Basic Nets: Math & Practice! by clicking the download link below.
Before you can start learning from this course explained in English (US) you need to have You Should Be Familiar With College Level Linear Algebra [Advanced], You Should Be Familiar With Multi-Variable Calculus And Chain-Rule, You Should Be Famililar With Basic Probability.
College Level Neural Nets [I] - Basic Nets: Math & Practice! is targeting for people that have interset in Deep Learning Engineers Or College Students Who Want To Gain Deep Mathematical Understanding Of The Topic.
Finally you will learn how to 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.