Learn Deep Neural Networks 101 Online

Course outline

Deep Neural Network (DNN):-

- DNN Architecture

- Calculating Weights

- Decision Boundary

- Activation Function

- Training Parameters

- Training DNN Animantion

- Weigth Initialization

Prerequisite knowledge

Python Programming Knowledge

Artficial Neural Network Fundamentals

Learning outcomes

This sessions acts as a beginner guide for learners wanting to take a deeper dive into the space of Deep Learning, moving from Neural Networks all the way to Deep Neural Networks.

Software / Hardware requirements

Anaconda Distribution

Install the ‘64-bit Graphical installer’

Python 3.8

(For both Windows & macOS)

Sugggested link:

https://www.anaconda.com/products/individual

Deep Learning - Self Organizing Maps

3 hours session

Deep Learning for Tensorflow

1.5 hours session

Deep Learning - Convolutional Neural Networks (CNN)

1.5 hours session

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