What you would learn in Build, Train, and Deploy Your First Neural Network with TensorFlow course?
TensorFlow is open-source software for machine learning that offers the benefits of machine learning available to anyone. TensorFlow allows developers to develop neural networks based models of machine learning. In this course, you will build, Train, Build, and then Deploy Your first neural network using TensorFlow. You will acquire the essential knowledge needed to build one of your networks. In the beginning, you will learn the fundamental principles behind machine learning and how it allows us to develop models that can learn from the information. Then, you will learn how to apply these concepts to neural networks to create an algorithm that predicts the type of clothing displayed within an image. In the next step, you will dive into how TensorFlow lets you analyze and enhance the effectiveness of neural networks by using built-in tools such as TensorBoard. In the final part, you will be taught how to set up the neural networks and then make their power of prediction accessible to applications. After completing this course, you'll have the expertise and understanding of machine learning and TensorFlow required to build, train and deploy an intelligent neural network.
Course Content:
Course Overview
Why Learn TensorFlow?
Setting up the TensorFlow Environment
AI and Machine Learning Concepts
Applying the Machine Learning Workflow with TensorFlow
Understanding Neural Networks
Building and Training Your First Neural Network
Monitoring and Improving Neural Network Performance
Deploying Your Neural Network 11mins Final Words
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