Oreilly - Deep Learning Architecture for Building Artificial Neural Networks
by Anshul Srivastav | Released June 2018 | ISBN: 9781788395106
An introduction to deep learning and its architectures with real-world use casesAbout This VideoGet a thorough understanding of the Deep Learning architecture and how it's used in the real worldGet familiar with the different Deep Learning modelsApply supervised and unsupervised learning to your daily projectsIn DetailThe course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. We then get to what everyone is talking about: Neural Networks.Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network. We will then move on to understanding the different Deep Learning Architectures, including how to set up your architecture and align the output. Finally we take a look at Artificial Neural Networks and understand how to build your own ANN. Taking this course will help you dive head first into the popular field of deep learning as a career choice or for further learning. Show and hide more
- Chapter 1 : What Is Deep Learning
- The Course Overview 00:04:24
- Deep Learning Overview 00:09:52
- Deep Learning in the Real World 00:09:06
- Environments of Deep Learning 00:04:25
- Getting Started 00:05:25
- Chapter 2 : Neural Networks
- How Do Neural Networks Work? 00:07:12
- How Do Neural Networks Learn? 00:06:47
- Neural Networks for 00:07:17
- Supervised Versus Unsupervised Learning 00:04:13
- Chapter 3 : Deep Learning Architectures
- Components of Deep Learning Architecture 00:04:04
- Set Up Deep Architectures and Align with Outputs 00:04:46
- Set up Datasets for Deep Learning with Sample Datasets 00:04:14
- Steps to Build Deep Learning Platforms 00:06:06
- Chapter 4 : Artificial Neural Network (ANN)
- What Is an Artificial Neural Network? 00:06:38
- How to Build Artificial Neural Network – Prerequisites 00:06:12
- Business Problems Through ANN 00:05:49
- Solutions Through ANN 00:05:53
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