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.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
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 .
