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Deep Learning for Tensorflow
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Duration
1.5 hours session
Course outline
Design
Deep Neural Network (DNN):-
- Overview of Deep Neural Networks (DNN)
- Deep Neural Network Classifier using Tensorflow
- Deep Neural Network Classifier using Mixed Predictors
- Deep Neural Network (DNN) Regression With Tensorflow
Prerequisite knowledge
Python Programming Knowledge
Artficial Neural Network Fundamentals
Learning outcomes
This practical session will give the learners necessary knowledge on Deep Neural Networks and how they can be created using the popular Tensorflow library.
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
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Deep Learning - Convolutional Neural Networks (CNN)
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Recurrent Neural Networks (RNN) - Intuition
1.5 hours session
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Recurrent Neural Networks (RNN) - Creating, Evaluating & Improving
2.25 hours session
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