Data Science & ML track

Neural Networks

Perceptrons, activation functions, layers, regularization and initialization.

8 concepts4 labs1 challenges
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Concepts

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1

The Perceptron

Concept · Hands-on lab included

2

Multi-Layer Perceptron (MLP)

Concept · Hands-on lab included

3

Forward Propagation

Concept · Hands-on lab included

4

Gradient Descent for Neural Networks

Concept · Hands-on lab included

5

Loss Landscapes

Concept · Hands-on lab included

6

Universal Approximation

Concept · Hands-on lab included

7

MLP from Scratch

Concept · Hands-on lab included

8

Training Pitfalls & Failure Modes

Concept · Hands-on lab included

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