Course Overview

Google’s Open Source Deep Learning ecosystem, Tensorflow, is the world’s most popular framework for developing powerful deep neural networks. Packaged directly with Keras, the official API, it allows simple and interpretable creation and training of deep learning models. This Tensorflow and Keras course is designed for students familiar with the basics of data science and machine learning who want to dive into the world of deep learning by learning Tensorflow & Keras. This training covers different modalities of neural networks, including Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks.

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

This course includes 90 day access to the full course content in on-demand format to support post-class reference and review.

Who Should Attend

Intermediate to experienced Python developers or experienced developers coming from another programming language.

Course Objectives

• Learn to use TensorFlow 2.0 for Deep Learning
• Leverage the Keras API to quickly build models that run on Tensorflow 2
• Perform Image Classification with Convolutional Neural Networks
• Use Deep Learning for medical imaging
• Forecast Time Series data with Recurrent Neural Networks
• Use Generative Adversarial Networks (GANs) to generate images
• Use deep learning for style transfer
• Generate text with RNNs and Natural Language Processing
• Serve Tensorflow Models through an API
• Use GPUs for accelerated deep learning

Course Outline

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