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Deep Learning Foundation Training
Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work
What you'll learn?
- Deep Learning market, scope, opportunities
- Deep Net Platform, H2O ai, Dato GraphLab
- Introduction to Deep Learning
- Autoencoders, Recursive Neural Tensor Network, Generative Adversarial Networks
- Deep Learning Platforms & Libraries
- Deep Learning Models
- Theano, Caffe, TensorFlow, Keras
- Understand what are Neural Networks
- Restricted Boltzmann Machines, Deep Belief Network, Convolutional Network, Recurrent Network
Requirements and What you should know?
- Enthusiasm and determination to make your mark on the world!
Who is this course for?
- Machine Learning Engineers
- Computer Vision Engineers
- Deep Learning Researchers / Development Engineers
- Data Science & Artificial Intelligence Managers
- Technology Consultants
- Software Engineers and Advanced Programmers
- Data Scientists & Senior Data Scientists
- Individuals interested in learning the fundamentals of Deep Learning
- AI Researchers - Complex Algorithms, Deep Learning Models
- Deep Learning Interns
- Data Consultants & Analysts
- Big Data Scientists
- Newbies and Beginners aspiring for a career in Deep Learning and Machine Learning
- Deep Learning Scientists
- Optimization Analysts
What is this course about?
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
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