Using GPUs to Scale and Speed-up Deep Learning Training

Live Online & Classroom Enterprise Training

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

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What is Using GPUs to Scale and Speed-up Deep Learning Training about?

In this course, you'll understand what GPU-based accelerated hardware is and how it can benefit your deep learning scaling needs. You'll also deploy deep learning networks on GPU accelerated hardware for several problems, including the classification of images and videos.

What are the objectives of Using GPUs to Scale and Speed-up Deep Learning Training ?

Explain what GPU is, how it can speed up computation, and its advantages compared to CPUs.
Implement deep learning networks on GPUs.
Train and deploy deep learning networks for image and video classification and object recognition.

Who is Using GPUs to Scale and Speed-up Deep Learning Training for?

Students and professionals who want to deepen their machine-learning knowledge
Data scientists who want to learn more about deep learning
Data scientists who already know about backpropagation and gradient descent and want to improve it with stochastic batch training, momentum, and adaptive learning rate procedures like RMSprop

What are the prerequisites for Using GPUs to Scale and Speed-up Deep Learning Training?

None

Available Training Modes

Live Online Training

10 Hours

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

Module – 1: Intro to Deep Learning

Module – 2: Hardware Accelerated Deep Learning

Module – 3: Deep Learning in the Cloud

Module – 4: Advanced Deep Learning

Module – 5: Deep Learning Project

Who is the instructor for this training?

The trainer for this Using GPUs to Scale and Speed-up Deep Learning Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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