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

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Ruchika oberoi

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Mar 27, 2022
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College Level Neural Nets - Basic Nets: Math & Practice! For Free



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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

Requirements

  • 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

Who this course is for:

  • Deep Learning Engineers Or College Students Who Want To Gain Deep Mathematical Understanding Of The Topic


RAR password: [email protected]