TensorFlow and Keras in a Day


Course Number: PYTH-234
Duration: 1 day (6.5 hours)
Format: Live, hands-on

TensorFlow and Keras Training Overview

TensorFlow has become an integral part of Machine and Deep Learning techniques. This TensorFlow and Keras training course teaches attendees the fundamentals of how to build Artificial Neural Networks (ANNs) using Keras and TensorFlow.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

In addition, some courses are available as live, instructor-led training from one of our partners.

Objectives

  • Understand TensorFlow fundamentals
  • Work with Tensors
  • Build Artificial Neural Networks (regression)
  • Build Artificial Neural Networks (classification)
  • Work with transfer learning

Prerequisites

All students must have basic knowledge of Python and machine learning fundamentals.

Outline

Expand All | Collapse All

Introduction
TensorFlow Fundamentals
  • Machine Learning versus Deep Learning: what’s the difference?
  • What is TensorFlow?
  • Why use TensorFlow?
Working with Tensors
  • What are Tensors?
  • Creating Tensors
  • Getting Tensor attributes
  • Manipulating Tensors
  • Math operations on Tensors
  • NumPy & Tensors
Artificial Neural Networks: Regression
  • Learn to build a neural network for a regression problem
  • Understand building a sequential network with layers
  • Components that make up neural networks (loss function, architecture, optimization functions)
  • ANN for regression
Artificial Neural Network: Classification
  • Build a neural network for a classification problem
  • Loss functions, metrics, and optimizers used for Classification
  • ANN for classification
Transfer Learning
  • Understand what transfer learning is with TensorFlow
  • Learn about transfer learning types
  • Using TensorFlow Hub for pre-trained models
  • Using TensorFlow Callbacks
  • Building a model with Keras Functional API
Conclusion

Training Materials

All TensorFlow and Keras training students receive courseware covering the toics in the class.

Software Requirements

Students must have the Google Chrome web browser and Internet access.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

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Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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