Accelerate your deep learning learning with GPUs and make the most of your time!
Deep learning is a branch of artificial intelligence that is revolutionizing the way complex tasks are performed, such as object detection or speech recognition.
And the best part is that you can learn to master it in no time with the help of GPUs.
IBM brings you a self-paced online course that is completely free, where you will learn how to use accelerated hardware for GPUs, such as Google’s Tensor Processing Unit (TPU) or Nvidia GPU.
These chips are specifically designed for neural network training and have recently been shown to significantly reduce training time.
IBM has Power Systems with Nvidia GPU and Power AI, a platform that supports popular machine learning libraries and dependencies like Tensorflow, Caffe, Torch, and Theano.
In this course, you will learn how GPU-accelerated hardware works and how it can benefit you in scaling deep learning.
Furthermore, you will learn how to implement deep learning networks on GPU-accelerated hardware for image and video classification problems.
The course consists of 4 modules that will explain everything you need to understand and apply accelerated deep learning techniques with GPU.
Upon completion of the course, you will receive a certificate of completion and be able to implement your own neural networks to solve complex problems.
Don’t wait any longer and take advantage of this golden opportunity to take a quantum leap in your career. Register now and learn to harness the power of GPUs in deep learning!
You can access the course using this link.
