Beginning Application Development with TensorFlow and Keras

This Beginning Application Development with TensorFlow and Keras training class covers the development of a real-world application powered by TensorFlow and Keras. TensorFlow is popular software created by Google (and open source contributors) to facilitate the development of machine learning applications, particularly those that use deep learning. Keras is an interface that facilitates the development of deep learning models.

The course starts with a hands-on introduction to TensorFlow and Keras. Then we move to the architecture of an example model, selecting the right layers to solve an example problem (predicting Bitcoin prices). Then we move on to the training and evaluation of the model. We will finish by deploying the model as a real-world product: a web-application (with an HTTP API) that uses Flask to make our model predictions available to the world.

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 is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.

Location

Public Classes: Delivered live online via WebEx and guaranteed to run . Join from anywhere!

Private Classes: Delivered at your offices , or any other location of your choice.

Goals
  1. Obtain a blueprint of the complete process for deploying a deep learning application: from environment setup to model deployment.
  2. Obtain a hands-on introduction to TensorFlow and Keras, popular technologies for building production-grade deep learning models.
  3. Get started with an example web application that uses an HTTP API interface to retrieve model predictions.
Outline
  1. Introduction to Neural Networks and Deep Learning
    1. What Are Neural Networks?
    2. Configuring a Deep Learning Environment
  2. Model Architecture
    1. Choosing the Right Model Architecture
    2. Using Keras as a TensorFlow Interface
  3. Model Evaluation and Evaluation
    1. Model Evaluation
    2. Hyperparameter Optimization
  4. Productization
    1. Handling New Data
    2. Deploying a Model as a Web Application
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Training for your Team

Length: 2 Days
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

What people say about our training

I loved the instructor! She was so easy going, and never made me feel stupid for asking any questions. She was funny, engaging, and very thorough!
Kailee Israel
Surescripts
The course was very helpful. The technology was simple enough to use, yet amazing and user friendly. The instructor was really good and very kind and friendly. I am considering other Webucator courses and would recommend Webucator to anyone.
Raymond Johnson
n/a
I would recommend these courses to anyone interested in learning new skills.
Derrick Crawford
Fox Chase Cancer Center
Instructor's approach to teaching is second to none.
Roy Henderson
Riverside County

No cancelation for low enrollment

Certified Microsoft Partner

Registered Education Provider (R.E.P.)

GSA schedule pricing

64,157

Students who have taken Instructor-led Training

11,950

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.30

Students rated our trainers 9.30 out of 10 based on 30,188 reviews

Contact Us or call 1-877-932-8228