TOIT Training

Introduction to Deep Learning Algorithms

Introduction to Deep Learning Algorithms
  • Overview
  • Curriculum
  • Reviews

 

This online instructor led training course provides the knowledge to better understand deep learning algorithms. In this course students will learn key topics including how neural networks work, the different type of neural networks, how an auto encoder works, and more.

  • 5 Sections
  • 20 Lessons
  • 1h 31m Duration
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Artificial Neural Networks

3 Lessons
  • What is an ANN
  • What is a Neuron
  • How Does it Learn

Convolutional Neural Networks

5 Lessons
  • What is a CNN
  • What is a CNN: Convolution
  • What is a CNN: Pooling
  • What is a CNN: Flattening
  • How are They Used

Recurrent Neural Networks

4 Lessons
  • What is an RNN
  • What Makes it Recurrent?
  • Unrolling Over Time
  • Long Short Term Memory Network

 Self Organizing Maps

5 Lessons
  • What is a Self Organizing Map
  • How Does it Self Organize?
  • Why does it converge?
  • Traveling Salesperson Problem
  • K-Means Clustering

Auto Encoder

3 Lessons
  • What is an Auto Encoder
  • AutoEncoder Neural Networks Structure
  • Denoising with AutoEncoder

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Course Includes

  • Better understanding of an artificial neural network and how it learns
  • Better understanding of convolutional neural networks and how they're used
  • Better understanding of recurrent neural network
  • Better understanding of self organizing maps and why they converge
  • Better understanding of auto encoder

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