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Deep Learning

Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets.


  • What is Deep Learning and its components
  • Understand why Deep Learning is needed and where                  
  • Explore the fundamentals of Deep Learning
  • Setting Up python environment
  • Development tools- Tensorflow/Theano/Keras
  • Relevant case study
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Course Content

  • Understanding Neural Networks

  • The Biological Inspiration

  • Perceptron Learning & Binary Classification

  • Backpropagation Learning

  • Object Recognition

  • Introducing Tensorflow

  • Neural Networks using Tensorflow

  • Debugging and Monitoring

  • Convolutional Neural Networks

  • CNN application using Tensorlfow: Hand written

  • Unsupervised Learning

  • Learning Feature Vectors for Words

  • Word2Vec models

  • Application in NLP