I hope that this simple guide will help sort out the confusion around deep learning and that the 8 practical examples will help ... when using a data set that is very diverse, unstructured and ...

Here, we look at 10 examples ... learning from the data. They make decisions based on what they learn from the data. Deep learning learns through an artificial neural network that acts very ...

Deep learning is ... consists of a large number of very simple interconnected elements. Each element takes numeric inputs, and computes a simple function (for example, a sum) over the inputs.

This is the fifth article in a series taken from the insideHPC Guide to the Industrialization of Deep Learning. Humans are very good ... computer or explicitly update database entries. A simple ...

Fueled by enterprises seeking greater insight from their analytics, deep learning is now seeing ... handling one set of very complex instructions, a GPU is very good at simultaneously handling many ...

Deep learning does not depend on prior data processing and automatically extracts features. To use a simple example ... high-level information from very large volumes of data.

Better yet, the more data and time you feed a deep learning algorithm, the better it gets at solving a task. In our examples for machine ... big step will be for the very concept of the ‘device ...

A simple sin(x ... (commonly used in the deep learning community). Learning in neural networks is nothing but finding the optimum weight vector W. As an example, in y = mx+c, we have 2 weights ...