Which version of LSTMs are implemented in Keras?
Tags: python, neural-network, keras, theano, lstm | Score: 2 | Answered: Yes
LSTM - Jürgen Schmidhuber & Felix Ger approach
Tags: math, artificial-intelligence, lstm, recurrent-neural-network | Score: 0 | Answered: No
Traceback (most recent call last) <ipython-input-45-49fddc3d53e6> in <module>, IndexError:…
Tags: python, machine-learning, image-processing, conv-neural-network, glob | Score: 0 | Answered: No
VITA-Group/VGAI
[IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, and Brian M. Sadler (⭐ 15 | Python)
LeadingIndiaAI/Wake-UP-word-detection
Wake-up-word(WUW)system is an emerging development in recent times. Voice interaction with systems have made life ease and aids in multi-tasking. Apple, Google, Microsoft, Amazon have developed a custom wake-word engine, which are addressed by words such as ‘Hey Siri’. ‘Ok Google…
Neural network (machine learning) - Wikipedia
Aykol M, Cheon G, Cubuk ED (December 2023). "Scaling deep learning for materials discovery". Nature. 624 (7990): 80–85. Bibcode:2023Natur.624...80M. doi:10
OpenAI Announces GPT-3 AI Language Model with 175 Billion Parameters - InfoQ
A team of researchers from OpenAI recently published a paper describing GPT-3, a deep-learning model for natural-language with 175 billion parameters, 100x more than the previous version, GPT-2. The model is pre-trained on nearly half a trillion words and achieves state-of-the-ar…
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
George Luger's Artificial Intelligence
Human-level control through deep reinforcement learning - ADS
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching…
Deep learning
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object d…
Human-level control through deep reinforcement learning - PubMed
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching…
Highly accurate protein structure prediction with AlphaFold
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</sup>, but this repre…
Long short-term memory - PubMed
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficie…
What is AI? Everything you need to know about Artificial Intelligence | ZDNet
An executive guide to artificial intelligence, from machine learning and general AI to neural networks.
What is AI? Everything to know about artificial intelligence | ZDNET
We cover everything that makes up the technology, from machine learning and LLMs to general AI and neural networks, and how to use it.
Deep learning - Wikipedia
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
DeepLearningAI - YouTube
Welcome to the official DeepLearning.AI YouTube channel! Here you can find the videos from our Coursera programs on machine learning as well as recorded events. DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill a need for world-class…
‘Godfather of AI’ Geoffrey Hinton quits Google and warns over dangers of misinformation |…
The neural network pioneer says dangers of chatbots were ‘quite scary’ and warns they could be exploited by ‘bad actors’
Deep learning in neural networks: An overview - ADS
[2404.03592] ReFT: Representation Finetuning for Language Models
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 encode rich semantic information, suggesting that editing representations might be a…