Deep Learning with Yacine on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...
The Hollywood Reporter

‘The Social Network Part II’ Gets New Title and 2026 Fall Release

Aaron Sorkin directs the Sony film that stars Mikey Madison, Jeremy Allen White and Jeremy Strong. By Ryan Gajewski Senior Entertainment Reporter Sorkin directs The Social Reckoning from his own ...
eLife

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...
Frontiers

Editorial: Deep neural network architectures and reservoir computing

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...
CU Boulder News & Events

MS in Artificial Intelligence on Coursera

The AI revolution has begun. Position yourself on the leading edge of artificial intelligence education with master’s-level expertise in the most powerful technologies reshaping our world. The ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
Scientific Research Publishing

Yin, C.L., Zhu, Y.F., Fei, J.L. and He, X.Z. (2017) A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks. IEEE Access, 5, 21954-21961.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
Frontiers

A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...
IGN

Deep Desert Layout This Week

Every week the Coriolis Storm sweeps through the Deep Desert, resetting the layout. Some places get covered while others are unburied. Each week we'll be working to get the latest layout for the Deep ...