LO035411 Beginning Application Development with TensorFlow and Keras
This is a 2-day course packaged with the right balance of theory and hands-on activities that will help you easily learn TensorFlow and Keras from scratch.This course will provide you with a blueprint of how to build an application that generates predictions using a deep learning model. From there you can continue to improve the example model—either by adding more data, computing more features, or changing its architecture—continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.
COURSE OBJECTIVE:
• A blueprint of the complete process for deploying a deep learning application: from environment setup to model deployment. • A hands-on introduction to TensorFlow and Keras, popular technologies for building production-grade deep learning models. • An example web-application that uses an HTTP API interface to retrieve model predictions.
TARGET AUDIENCE:
This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.
COURSE PREREQUISITES:
Hardware:
For successful completion of this course, students will require computer systems with the following: • Processor: 2.6 GHz or higher, preferably multi-core • Memory: 4 GB RAM • Hard disk: 10 GB • Projector • Internet connectionSoftware: • Operating System: Windows (8 or higher). • Visual Studio Code: https://code.visualstudio.com/ . • Python 3: Follow instructions in website: https://www.python.org/downloads/ • TensorFlow 1.4 or higher on Windows: Follow instructions in website: https://www.tensorflow.org/install/install_windows . • Keras 2: Follow instructions in website (Keras only): https://keras.io/#installation .
COURSE CONTENT:
Lesson 1: Introduction to Neural Networks and Deep Learning • What are Neural Networks? • Configuring a Deep Learning EnvironmentLesson 2: Model Architecture • Choosing the Right Model Architecture • Using Keras as a TensorFlow InterfaceLesson 3: Model Evaluation and Evaluation • Model Evaluation • Hyperparameter OptimizationLesson 4: Productization • Handling New Data • Deploying a Model as a Web Application
FOLLOW ON COURSES:
Not available. Please contact.
Additional information
