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

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.

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.

• Course Overview 1min
• Why Learn TensorFlow? 12mins
• Setting up the TensorFlow Environment 16mins
• AI and Machine Learning Concepts 20mins
• Applying the Machine Learning Workflow with TensorFlow 29mins
• Understanding Neural Networks 25mins
• Building and Training Your First Neural Network 22mins
• Monitoring and Improving Neural Network Performance 21mins
• Deploying Your Neural Network 10mins
• Final Words 7mins