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
(38)
Level
Beginner
Updated
Jan 23, 2020
Duration
2h 46m
Table of contents
Course Overview
Course Overview 2m
Why Learn TensorFlow?
What Is TensorFlow? 3m Why TensorFlow? 2m TensorFlow Tools and Languages 2m Required Skills 3m Course Structure 2m
Setting up the TensorFlow Environment
TensorFlow Development Environment 2m What Is Google Colaboratory (aka Colab)? 2m Getting Started with Colab 4m Importing TensorFlow 3m Sequencing Code Execution 5m Checklist and Summary 2m
AI and Machine Learning Concepts
The Relationship of AI to ML 2m Implementing Machine Learning 2m Creating the Model 3m Training the Model 2m Reducing Loss 4m Evaluating the Trained Model 1m What Is a Tensor? 4m Checklist and Summary 1m
Applying the Machine Learning Workflow with TensorFlow
Setting up the Example 5m Defining the Problem and Getting Data 3m Exploring the Data 2m Preparing the Data 5m Creating the Model 3m Training the Model 5m Improving Performance 3m Evaluating Model Performance 2m Summary 1m
Understanding Neural Networks
Machine Learning with Neural Networks 2m How Neurons Work 2m Neuron Architecture 2m Activation Functions 6m From Neurons to Neural Networks 3m Predicting with an Untrained Neural Network 4m Training a Neural Network 4m Summary 1m
Building and Training Your First Neural Network
Building a Neural Network in TensorFlow 4m Getting and Preparing the Data 4m Creating the Model 4m Demo: Creating the Model 3m Compiling the Model 2m Training and Evaluating the Model 3m Summary 2m
Monitoring and Improving Neural Network Performance
Understanding the Problem with Your Model 3m TensorBoard Setup 4m Monitoring Your Trained Model’s Performance 3m Reducing Training Data Overfitting 4m Randomly Dropping out Neuron Output 2m Early Stopping 3m Saving Your Trained Model 1m Summary 1m
Deploying Your Neural Network
What Is Deploying a Neural Network? 2m Installing TensorFlow ModelServer 2m Understanding TensorFlow Model Serving 1m Using TensorFlow Model Serving 5m Summary 1m
Final Words
What Have You Seen? 2m Training the Model 2m Monitoring, Improving, and Deploying the Model 2m Tips for Your Machine Learning Journey 1m
Description
Course info
Rating
(38)
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
[Autogenerated] Hi, everyone. My name is Jared Kurata. Welcome to my course. Build train and deploy or first neural network with tensorflow. Every day we see more and more applications based on machine learning from voice based assistance that can perform tasks for us to systems that can recognize people in pictures and two 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 in to 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 machine learning concepts such as how normal networks are created and how through mathematics and training. We can teach our artificial neural networks to get better and better. It understanding the relationships and data to make these concepts real will create a model, learns a unique features that identify articles of clothing and 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. Yeah.

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