iRender AI/DeepLearning

Deep Learning is a high computationally demanding field and your choice of GPU will determine your deep learning experience. Graphics processing units (GPUs) can help reduce these costs as they can help you run your training tasks in parallel, distribute tasks across processor clusters, and execute simultaneous calculation operations.
12 Apr 2021

Best GPU for Deep Learning

Deep Learning is a high computationally demanding field and your choice of GPU will determine your deep learning experience. Graphics…

TensorFlow is a free and open-source software library for Machine Learning and Deep Learning. It can be used across a range of tasks but has a particular focus on training and the interface of deep neural networks. TensorFlow is a symbolic math library based on dataflow and differentiable programming. It was developed by the Google Brain team in 2012, written in Python, Cuda, C++, and used for both research and production at Google. In this article, we will learn how to install TensorFlow on Ubuntu.
01 Mar 2021

How to Install TensorFlow on Ubuntu?

TensorFlow is a free and open-source software library for Machine Learning and Deep Learning. It can be used across a…

H2O4GPU is an open source, GPU-accelerated machine learning package with APIs in Python and R that allows people to make use of GPUs to build advanced machine learning models. H2O provides a variety of popular algorithms including Gradient Boosting Machines (GBM’s), Generalized Linear Models (GLM’s), and K-Means Clustering. According to H2O.ai, these algorithms offer up to a 40X speedup when compared to CPUs.
04 Jan 2021

H2O4GPU – Collection of GPU Algorithms

H2O4GPU is an open source, GPU-accelerated machine learning package with APIs in Python and R that allows people to make…

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Nvidia used to hold a conference on games, but the main topic everyone discussed during that conference was GPU for Machine Learning technology. Not only Nvidia, but manufacturer AMD also introduced a new line of GPUs targeting machine learning at CES 2018. Machine Learning is a concept in the field of artificial intelligence to research and build techniques. magic allows the computer to "learn" automatically from available data to solve various problems. It sounds irrelevant, but why is Nvidia to AMD jumping into GPU research for machine learning. Why didn't they choose the CPU? The answer is because of the statistical matrix.
20 Dec 2020

Why does Machine Learning need the GPU?

Nvidia used to hold a conference on games, but the main topic everyone discussed during that conference was GPU for…

In recent years, AI – Artificial Intelligence and more specifically Machine Learning have emerged as evidence of the fourth revolution. AI is slowly creeping into every field and life we may not realize. So to know more about AI, join iRender to the following article to find out what is Machine Learning? and how machine learning works.
17 Dec 2020

The advent and concept of Machine Learning

In recent years, AI – Artificial Intelligence and more specifically Machine Learning have emerged as evidence of the fourth revolution.…

Virtual reality uses a headset to place you in a computer-generated world that you can explore. Augmented reality, on the other hand, is a bit different. Instead of transporting you to a virtual world, it takes digital images and layers them on the real world around you through the use of either a clear visor or smartphone.
15 Sep 2020

Virtual Reality and Augmented Reality

Virtual reality uses a headset to place you in a computer-generated world that you can explore. Augmented reality, on the…

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