trainingbypackt/beginning-application-development-with-tensorflow-and-keras-elearning

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

Beginning Application Development with TensorFlow and Keras

With this course, you'll learn how to train, evaluate, and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction to neural networks and deep learning, you'll use a sample model to explore details of deep learning and learn to select the right layers that can solve a given problem. By the end of the course, you'll build a Bitcoin application that predicts the future price, based on historic and freely available information.

What you will learn

• Learn ways to select the right model architecture
• Make predictions with a trained model and work with TensorBoard
• Evaluate metrics and techniques to deploy a model as a web application
• Set up a deep learning programming environment
• Explore components of a neural network and its essential operations
• Deploy model as an interactive web application with Flask and HTTP API
• Learn to use Keras, a TensorFlow abstraction library
• Explore types of problems that are addressed by neural networks

Hardware requirements

For an optimal student experience, we recommend the following hardware configuration:

• Processor: 2.6 GHz or higher, preferably multi-core
• Memory: 4GB RAM
• Hard disk: 10GB or more
• An Internet connection

Software requirements

You’ll also need the following software installed in advance:

• Operating System: Windows (8 or higher)
• Visual Studio Code
• Python 3
• TensorFlow 1.4 or higher on Windows: Follow instructions in website
• Keras 2