Build, Train, and Deploy Your First Neural Network with TensorFlow 2

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Jerry Kurata

2:47:08

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01.Course Overview

01.01.Course Overview.mp4

01:35

02.Why Learn TensorFlow

02.01.What Is TensorFlow.mp4

02:52

02.02.Why TensorFlow.mp4

02:21

02.03.TensorFlow Tools and Languages.mp4

02:18

02.04.Required Skills.mp4

02:32

02.05.Course Structure.mp4

01:52

03.Setting up the TensorFlow Environment

03.01.TensorFlow Development Environment.mp4

01:30

03.02.What Is Google Colaboratory (aka Colab).mp4

01:44

03.03.Getting Started with Colab.mp4

04:13

03.04.Importing TensorFlow.mp4

02:32

03.05.Sequencing Code Execution.mp4

04:54

03.06.Checklist and Summary.mp4

01:59

04.AI and Machine Learning Concepts

04.01.The Relationship of AI to ML.mp4

02:27

04.02.Implementing Machine Learning.mp4

02:16

04.03.Creating the Model.mp4

03:17

04.04.Training the Model.mp4

02:21

04.05.Reducing Loss.mp4

03:49

04.06.Evaluating the Trained Model.mp4

01:09

04.07.What Is a Tensor.mp4

03:41

04.08.Checklist and Summary.mp4

01:01

05.Applying the Machine Learning Workflow with TensorFlow

05.01.Setting up the Example.mp4

04:31

05.02.Defining the Problem and Getting Data.mp4

02:44

05.03.Exploring the Data.mp4

02:26

05.04.Preparing the Data.mp4

05:10

05.05.Creating the Model.mp4

03:16

05.06.Training the Model.mp4

05:29

05.07.Improving Performance.mp4

03:05

05.08.Evaluating Model Performance.mp4

02:02

05.09.Summary.mp4

00:55

06.Understanding Neural Networks

06.01.Machine Learning with Neural Networks.mp4

02:15

06.02.How Neurons Work.mp4

02:23

06.03.Neuron Architecture.mp4

02:28

06.04.Activation Functions.mp4

05:51

06.05.From Neurons to Neural Networks.mp4

03:14

06.06.Predicting with an Untrained Neural Network.mp4

03:31

06.07.Training a Neural Network.mp4

04:12

06.08.Summary.mp4

01:16

07.Building and Training Your First Neural Network

07.01.Building a Neural Network in TensorFlow.mp4

03:37

07.02.Getting and Preparing the Data.mp4

04:29

07.03.Creating the Model.mp4

04:08

07.04.Demo Creating the Model.mp4

03:17

07.05.Compiling the Model .mp4

02:16

07.06.Training and Evaluating the Model.mp4

02:36

07.07.Summary.mp4

01:51

08.Monitoring and Improving Neural Network Performance

08.01.Understanding the Problem with Your Model .mp4

02:41

08.02.TensorBoard Setup.mp4

04:20

08.03.Monitoring Your Trained Models Performance.mp4

03:19

08.04.Reducing Training Data Overfitting.mp4

03:50

08.05.Randomly Dropping out Neuron Output.mp4

02:06

08.06.Early Stopping.mp4

02:33

08.07.Saving Your Trained Model.mp4

01:10

08.08.Summary.mp4

01:11

09.Deploying Your Neural Network

09.01.What Is Deploying a Neural Network.mp4

02:26

09.02.Installing TensorFlow ModelServer.mp4

01:38

09.03.Understanding TensorFlow Model Serving.mp4

01:11

09.04.Using TensorFlow Model Serving.mp4

04:49

09.05.Summary.mp4

00:49

10.Final Words

10.01.What Have You Seen.mp4

01:39

10.02.Training the Model.mp4

02:23

10.03.Monitoring, Improving, and Deploying the Model.mp4

02:28

10.04.Tips for Your Machine Learning Journey.mp4

01:10

Description

In this course, you will learn the basic principles of machine learning and neural networks so you can quickly create, train, and deploy a neural network with TensorFlow.

What You'll Learn?

TensorFlow is an open source machine learning framework that brings the power of machine learning to everyone. TensorFlow makes it easy for developers to create neural network based machine learning models. In this course, Build, Train, and Deploy Your First Neural Network with TensorFlow 2, you will learn the foundational knowledge needed to create your own neural networks. First, you will explore the basic principles of how machine learning lets us create models that learn from data. Next, you will discover how to apply these principles to neural networks and create a model that predicts the class of clothing in an image. Then, you will delve into how TensorFlow makes it easy to evaluate and improve the performance of neural networks with built-in tools like TensorBoard. Finally, you will learn how to deploy your neural network and make its predictive power available to client applications. When you are finished with this course, you will have the skills and knowledge of machine learning and TensorFlow needed to create, train, and deploy a predictive neural network.

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TensorFlow

Neural Networks

Jerry Kurata

Instructor's Courses

Jerry has Bachelor of Science degrees in Geology and Physics. His plans to work in the oil exploration industry were sidetracked when he discovered he preferred to work with computers on simulation and data processing, instead of reading mud and core samples in the North Sea. His love of computers and tech resulted in him spending many additional hours working on computers while getting his Master’s degree in Computer Science. His current areas of interests include Machine Learning, Big Data, tiny and wearable computer systems, robotics, and building solutions that help people. When not working with computers, Jerry enjoys spending time with his family, traveling and photographing the beauty in our world.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.