Deep Learning for Beginner (AI) - Data Science
Deep Learning for beginner, Mathematical & Graphical explanation of deep learning with ebooks and Python projects
4.11 (14 reviews)
3 020
students
5 hours
content
Sep 2022
last update
$49.99
regular price
What you will learn
Introduction to Deep learning, resemblance of artificial neural network and biological neural network
Activation function and its types, Application of activation function, Linear activation function, Non-linear activation function
Types of activation function: Step function, Sign function, Linear function, ReLU function, Leaky ReLU function, Tangent Hyperbolic function, Sigmoid, Softmax
Artificial neural network, ANN model, Complex ANN model, Labelled ANN model, Forward ANN, Backward ANN, ANN python project
Convolutional Neural Network (CNN), CNN block diagram, Filter or Kernel, Types of filters, Stride, Padding, Pooling, Flatten, CNN Python project
Recurrent Neural Network (RNN), RNN model, Operation of RNN model, Types; One-one RNN model, One-many RNN model, Many-many RNN model
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udemy ID
08/09/2022
course created date
13/09/2022
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