Using GPUs to Scale and Speed-up Deep Learning

Description

In this course, you will learn:

• Explain what a GPU is, how it can speed up computations, and how it differs from CPUs.
• Use GPUs to implement deep learning networks.
• Deep learning networks for image and video categorization, as well as object recognition, can be trained and deployed.

Syllabus:

1. A quick review of Deep Learning

• Intro to Deep Learning
• Deep Learning Pipeline

2. Hardware Accelerated Deep Learning

• How to accelerate a deep learning model?
• Running TensorFlow operations on CPUs vs. GPUs
• Convolutional Neural Networks on GPUs
• Recurrent Neural Networks on GPUs

3. Deep Learning in the Cloud

• Deep Learning in the Cloud
• How does one use a GPU

4. Distributed Deep Learning

5. PowerAI vision

• Computer vision
• Image Classification
• Object recognition in Videos.

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