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

By Jerry Kurata
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.
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Course info
Rating
(31)
Level
Beginner
Updated
Jan 23, 2020
Duration
2h 46m
Table of contents
Course Overview
Course Overview 2m
Why Learn TensorFlow?
Course Structure 2m Required Skills 3m TensorFlow Tools and Languages 2m What Is TensorFlow? 3m Why TensorFlow? 2m
Setting up the TensorFlow Environment
Checklist and Summary 2m Getting Started with Colab 4m Importing TensorFlow 3m Sequencing Code Execution 5m TensorFlow Development Environment 2m What Is Google Colaboratory (aka Colab)? 2m
AI and Machine Learning Concepts
Checklist and Summary 1m Creating the Model 3m Evaluating the Trained Model 1m Implementing Machine Learning 2m Reducing Loss 4m The Relationship of AI to ML 2m Training the Model 2m What Is a Tensor? 4m
Applying the Machine Learning Workflow with TensorFlow
Creating the Model 3m Defining the Problem and Getting Data 3m Evaluating Model Performance 2m Exploring the Data 2m Improving Performance 3m Preparing the Data 5m Setting up the Example 5m Summary 1m Training the Model 5m
Understanding Neural Networks
Activation Functions 6m From Neurons to Neural Networks 3m How Neurons Work 2m Machine Learning with Neural Networks 2m Neuron Architecture 2m Predicting with an Untrained Neural Network 4m Summary 1m Training a Neural Network 4m
Building and Training Your First Neural Network
Building a Neural Network in TensorFlow 4m Compiling the Model 2m Creating the Model 4m Demo: Creating the Model 3m Getting and Preparing the Data 4m Summary 2m Training and Evaluating the Model 3m
Monitoring and Improving Neural Network Performance
Early Stopping 3m Monitoring Your Trained Model’s Performance 3m Randomly Dropping out Neuron Output 2m Reducing Training Data Overfitting 4m Saving Your Trained Model 1m Summary 1m TensorBoard Setup 4m Understanding the Problem with Your Model 3m
Deploying Your Neural Network
Installing TensorFlow ModelServer 2m Summary 1m Understanding TensorFlow Model Serving 1m Using TensorFlow Model Serving 5m What Is Deploying a Neural Network? 2m
Final Words
Monitoring, Improving, and Deploying the Model 2m Tips for Your Machine Learning Journey 1m Training the Model 2m What Have You Seen? 2m
Description
Course info
Rating
(31)
Level
Beginner
Updated
Jan 23, 2020
Duration
2h 46m
Description

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, 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.

About the author
Jerry Kurata
About the author

Jerry Kurata is a Solutions Architect at InStep Technologies.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
I ever won. My name is Jared Kurata. Welcome to my course. Build train and deploy your first neural network with Tensorflow every day we Seymour and more applications based on machine learning from voice based assistance that can perform tasks for us. Two systems that can recognize people in pictures into cars that can drive themselves. At the heart of all these leading edge technologies lies powerful neural networks. And in this course you'll take your first steps into understanding how these neural networks are created, trained and deployed. And you'll learn that with a little work and great tools like Tensorflow, you can create a neural network that does a difficult tasks like recognizing items and images. In this course, we start with the basics and cover, getting you set up and running with Tensorflow. Then we understand artificial intelligence and machine learning concepts, such as how neural networks are created and how through mathematics and training. We can teach our artificial neural networks to get better and better at understanding the relationships and data. To make these concepts riel we'll create a mall, learns the unique features that identify articles of clothing. Been using tense aboard. We will analyze and improve the performance of the model, finally will deploy our model and make its capabilities available with a simple Web call. So join me on this journey to create train and deploy your first neural network with tensorflow here Pluralsight.

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