Chapters

1) Glossary
2) Keras Implementation
3)

Natural Language Processing

Posted by: Juspreet51

Last Updated on: 02nd May, 2021



Neural Network Under Microscopic View

Biomimicry:

Propositional Logic:

Artificial Neuron:

Perceptron:

Step Function:
Heavside Step Function & Sign Step Function

Dense Layer:

Bias Neuron:

O/P Calculation:

Activation Function:

Weight Updates:

Multilayer Perceptron (MLP):
Input Layer, Hidden Layer, Output Layer, Lower & Upper Layers
Every layer, except output layer, includes a bias neuron, and is fully connected to next layer

Feedforward Neural Network:

Backpropagation Training Algorithm:
Auto-diff, Epoch, Forward Pass, Reverse Pass, Activation Function: Sigmoid
Other Activation Functions

Regression Multilayer Perceptron:
Architecture of Regression Multilayer Perceptron:

Classification Multilayer Perceptron:
Architecture:

  1. Multi-Label Binary Classification Problem:
  2. Multi-Class Classification Problems:

More: