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

Requirements

   Enthusiasm and determination to make your mark on the world!

Last Updated 12/2020