The Deep Learning with Tensorflow and Keras training course provides an overview of Deep Learning along with hands-on exercises using the popular Deep Learning tools, Tensorflow, and Keras.
The course begins with students building a binary perceptron and a multi-layer perceptron. Next students will build a convolutional neural network in order to perform image analysis and classification, as well as image attribution. The course concludes by covering recurrent neural networks and transfer learning.
This course is designed for developers who want to understand and use Deep Learning. This course can be customized to utilize PyTorch, H20 or DeepLearning4j.
Purpose
|
Learn Deep Learning concepts and popular tools. |
Audience
|
Developers wanting to learn how to work with some of the most powerful and well-documented Machine/Deep Learning technologies. |
Role
| Data Engineer - Data Scientist - Software Developer |
Skill Level
| Intermediate |
Style
| Fast Track - Targeted Topic - Workshops |
Duration
| 2 Days |
Related Technologies
| Artificial Intelligence | Tensorflow |
Productivity Objectives
- Explain the basics of Deep Learning.
- Build a binary perceptron model for classification and a multi-layer perceptron for image classification.
- Implement convolutional neural networks.
- Utilize Pre-trained Models.