In the second part of our "A Mathless Guide to Neural Networks," we’ll take a look at why high-quality, labeled data is so important, where it comes from, how it’s used and what solutions our ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data pre ...

Deep learning focuses on predicting or classifying data, while generative AI creates new content. ( Jump to Section ) Common deep learning techniques include CNNs, RNNs, and LSTMs.

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...

Getting more performance out of a system to handle machine-learning (ML) chores can be done using Intel’s Deep Learning Boost. I talked with Huma Abidi, Director of Engineering, Artificial ...