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Requirements
Python language
Description
Following topics are covered as part of the course
Explore building blocks of neural networks
Data representation, Tensor, Back propagation
Keras
Dataset, Applying Keras to cases studies, over fitting / under fitting
Artificial Neural Networks (ANN)
Activation functions
Loss functions
Gradient Descent
Optimizer
Image Processing
Convnets (CNN), hands-on with CNN
Text and Sequences
Text data, Language Processing
Recurrent Neural Network (RNN)
LSTM
Bidirectional RNN
Gradients and Back Propagation – Mathematics
Who this course is for:
Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning
