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Deep Learning (from basics)


Deep Learning (from basics)
Deep Learning (from basics)

Getting Started

Deep Learning with Python/ Keras
At a very basic level, deep learning is a machine learning technique. It teaches a computer to filter inputs through layers to learn how to predict and classify information. Observations can be in the form of images, text, or sound. The inspiration for deep learning is the way that the human brain filters
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What you'll learn
  • The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras.
  • As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems
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


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