Build, Train, and Deploy Your First Neural Network with TensorFlow
By Jerry Kurata
Course info



Course info



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.
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.