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Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work

What you’ll learn

  • Introduction to Deep Learning
  • Understand what are Neural Networks
  • Deep Learning market, scope, opportunities
  • Deep Learning Models
  • Restricted Boltzmann Machines, Deep Belief Network, Convolutional Network, Recurrent Network
  • Autoencoders, Recursive Neural Tensor Network, Generative Adversarial Networks
  • Deep Learning Platforms & Libraries
  • Deep Net Platform, H2O ai, Dato GraphLab
  • Theano, Caffe, TensorFlow, Keras

    Description

    Deep Learning Foundation – Syllabus

    Module 1 – Introduction to Deep Learning

    • Deep Learning: The Series Introduction
    • What is a Neural Network
    • Three reasons to go Deep
    • Your choice of Deep Net
    • Deep Learning Market

    Module 2 – Deep Learning Models

    • Restricted Boltzmann Machines
    • Deep Belief Network
    • Convolutional Network
    • Recurrent Network

    Module 3 – Additional Deep Learning Models

    • Autoencoders
    • Recursive Neural Tensor Network
    • Generative Adversarial Networks

    Module 4 – Deep Learning Platforms & Libraries

    • What is a Deep Net Platform
    • H2O ai
    • Dato GraphLab
    • What is a Deep Learning Library
    • Theano
    • Caffe
    • TensorFlow
    • Keras

    Who this course is for:

    • Deep Learning Scientists
    • Machine Learning Engineers
    • Data Scientists & Senior Data Scientists
    • Newbies and Beginners aspiring for a career in Deep Learning and Machine Learning
    • AI Researchers – Complex Algorithms, Deep Learning Models
    • Deep Learning Researchers / Development Engineers
    • Data Consultants & Analysts
    • Computer Vision Engineers
    • Data Science & Artificial Intelligence Managers
    • Individuals interested in learning the fundamentals of Deep Learning
    • Deep Learning Interns
    • Software Engineers and Advanced Programmers
    • Optimization Analysts
    • Technology Consultants
    • Big Data Scientists
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