Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Mammographic breast density classified by the deep-learning model matches well with the radiologist’s assessment. (Courtesy: Radiological Society of North America) In the USA, many states have laws ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

This book may be of interest to Gadget Masters getting serious with the use of AI and looking to develop their own learning model. It's called Practical Deep Learning. Or Practical Deep Learning (2nd ...

Numenta announced a technology demonstration showing their brain-derived sparse networks perform inference tasks 50x faster than dense networks.

DSD-MatchingNet: Deformable sparse-to-dense feature matching for learning accurate correspondences Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.

See how DenseNets reuse features across layers, reduce parameters, and improve training efficiency.

Despite the existence of multiple deep learning frameworks, there is a lack of comprehensible and easy-to-use high-level tools for the design, training, and testing of deep neural networks (DNNs) ...