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Custom and Distributed Training with TensorFlow (Coursera)

Aug 15th 2022
Custom and Distributed Training with TensorFlow (Coursera)
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In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients; • Build your own custom training loops using GradientTape and TensorFlow [...]

Introduction to Concurrent Programming with GPUs (Coursera)

This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.

Introduction to Parallel Programming with CUDA (Coursera)

This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will [...]

CUDA Advanced Libraries (Coursera)

Aug 8th 2022
CUDA Advanced Libraries (Coursera)
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This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be [...]

CUDA at Scale for the Enterprise (Coursera)

This course will aid in students in learning in concepts that scale the use of GPUs and the CPUs that manage their use beyond the most common consumer-grade GPU installations. They will learn how to manage asynchronous workflows, sending and receiving events to encapsulate data transfers and control signals. [...]

Computer Architecture (Coursera)

In this course, you will learn to design the computer architecture of complex modern microprocessors. All the features of this course are available for free. It does not offer a certificate upon completion.

Using GPUs to Scale and Speed-up Deep Learning (edX)

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Using GPUs to Scale and Speed-up Deep Learning (edX)
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Training complex deep learning models with large datasets takes a long time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning. Training a complex deep learning model with a very large dataset can take hours, days and occasionally [...]