Beginning Application Development with TensorFlow and Keras [eLearning]

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 4h 27m | 0.98 GB

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

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