Tag Archives: deep learning

Designing A Production-Class AI Cluster

Artificial Intelligence (AI) and, more specifically, Deep Learning (DL) are revolutionizing the way businesses utilize the vast amounts of data they collect and how researchers accelerate their time to discovery. Some of the most significant examples come from the way … Continue reading

Tesla V100 “Volta” GPU Review

Index of our review: Speeds and Feeds Which GPU is for me? Enhanced NVLink Programming Improvements What Volta Means for me? The next generation NVIDIA Volta architecture is here. With it comes the new Tesla V100 “Volta” GPU, the most … Continue reading

One-shot Learning Methods Applied to Drug Discovery with DeepChem

Experimental data sets for drug discovery are sometimes limited in size, due to the difficulty of gathering this type of data. Drug discovery data sets are expensive to obtain, and some are the result of clinical trials, which might not … Continue reading

DeepChem – a Deep Learning Framework for Drug Discovery

A powerful new open source deep learning framework for drug discovery is now available for public download on github. This new framework, called DeepChem, is python-based, and offers a feature-rich set of functionality for applying deep learning to problems in … Continue reading

Deep Learning Benchmarks of NVIDIA Tesla P100 PCIe, Tesla K80, and Tesla M40 GPUs

Sources of CPU benchmarks, used for estimating performance on similar workloads, have been available throughout the course of CPU development. For example, the Standard Performance Evaluation Corporation has compiled a large set of applications benchmarks, running on a variety of … Continue reading

Can I use Deep Learning?

If you’ve been reading the press this year, you’ve probably seen mention of deep learning or machine learning. You’ve probably gotten the impression they can do anything and solve every problem. It’s true that computers can be better than humans … Continue reading

Deep Learning Applications in Science and Engineering

Over the past decade, and particularly over the past several years, Deep learning applications have been developed for a wide range of scientific and engineering problems. For example, deep learning methods have recently increased the level of significance of the … Continue reading

Accelerating Code with OpenACC and the NVIDIA Visual Profiler

Comprised of a set of compiler directives, OpenACC was created to accelerate code using the many streaming multiprocessors (SM) present on a GPU. Similar to how OpenMP is used for accelerating code on multicore CPUs, OpenACC can accelerate code on … Continue reading

Deep Learning Frameworks: A Survey of TensorFlow, Torch, Theano, Caffe, Neon, and the IBM Machine Learning Stack

The art and science of training neural networks from large data sets in order to make predictions or classifications has experienced a major transition over the past several years. Through popular and growing interest from scientists and engineers, this field … Continue reading

Keras and Theano Deep Learning Frameworks

Here we will explore how to use the Theano and Keras Python frameworks for designing neural networks in order to accomplish specific classification tasks. In the process, we will see how Keras offers a great amount of leverage and flexibility … Continue reading