Beginning Application Development with TensorFlow and Keras
- Course Code LO035411
- Duration 2 days
Course Delivery
Additional Payment Options
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GTC 11 inc. VAT
GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopThis 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 Schedule
TopTarget Audience
TopCourse Objectives
Top- 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.
Course Content
TopLesson 1: Introduction to Neural Networks and Deep Learning
- What are Neural Networks?
- Configuring a Deep Learning Environment
Lesson 2: Model Architecture
- Choosing the Right Model Architecture
- Using Keras as a TensorFlow Interface
Lesson 3: Model Evaluation and Evaluation
- Model Evaluation
- Hyperparameter Optimization
Lesson 4: Productization
- Handling New Data
- Deploying a Model as a Web Application
Course Prerequisites
TopHardware:
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 connection
Software:
- 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 .
