Feb 21, 2026 — Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible deep arti...

Feb 21, 2026 — Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic signs. Our biologically plausible, wide and...

Feb 20, 2026 — Posted by Jakob Uszkoreit, Software Engineer, Natural Language Understanding Neural networks, in particular recurrent neural networks (RNNs), are n...

Feb 21, 2026 — Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM ...

Feb 25, 2026 — The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. ...

Feb 21, 2026 — This article presents an overview of some of the most used optimizers while training a neural network.

Feb 21, 2026 — In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant...

Feb 21, 2026 — In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant...

Feb 25, 2026 — In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant...

Feb 25, 2026 — A computer Go program based on deep neural networks defeats a human professional player to achieve one of the grand challenges of artificial intelligence.

Feb 26, 2026 — 📑 Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus (⭐ 89 | R)

Feb 26, 2026 — Notes and exercises related to the text book Neural Network Design by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus. (⭐ 26 | Python)

Feb 25, 2026 — The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. ...

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Feb 26, 2026 — Sepp Hochreiter, Jürgen Schmidhuber (21 August 1995), Long Short Term Memory, Wikidata Q98967430 Hochreiter S, Schmidhuber J (1 November 1997). "Long

Feb 26, 2026 — Long short-term memory (LSTM) networks were invented by Hochreiter and Schmidhuber in 1995 and set accuracy records in multiple applications domains. It

Feb 20, 2026 — Learn how Google Research’s team worked with collaborators at HHMI Janelia and Harvard University to build a dataset that tracks both the neural activity and nanoscale structure of an entire brain o...

Feb 21, 2026 — Parameter-efficient finetuning (PEFT) methods seek to adapt large neural models via updates to a small number of weights. However, much prior interpretability work has shown that representations encod...