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
Requirements
Enthusiasm and determination to make your mark on the world!
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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