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
Related Courses:
Advanced Microsoft Excel Formulas & Functions - 2021
How To Design A Great Movie Poster That Works
Natural Language Processing Real-World Projects in Python
Aerospace Masterclass: Transonic Aerodynamics
Fiverr Empire: Kickstart a Fiverr Career & Fiverr Brokering
The Complete Front-End Web Development Course!
Product Management Foundations
Mastering Farsi from Alphabet to Daily Conversation