BIOENGINEER

Deep reinforcement learning improves simulated short-video session duration and diversity

An offline simulation using 12.53 million KuaiRec interactions found that a DQN recommender generated longer simulated ...
BIOENGINEER

Deep Reinforcement Learning Teaches Autonomous Cars to Change Lanes Safely and Smoothly

Researchers in China have developed an improved deep reinforcement learning framework that jointly optimizes trajectory ...
Nature

Optimization Techniques in Deep Learning articles from across Nature Portfolio

Serving as a pivotal parameter during deep learning training processes, learning rate plays a crucial role regarding training efficiency. Traditional optimizers confront challenges such as sluggish ...
Semiconductor Engineering

DNN-Opt, A Novel Deep Neural Network (DNN) Based Black-Box Optimization Framework For Analog Sizing

This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...

3 Essential Books for Learning Deep Learning with Keras

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for ...

3277-3286 "Educational Structure OS"—10 Deep Models for Reconstructing "Learning, Evaluation, and Worldlines" in the AI Era

Introduction: Education Evolves from a "Mechanism for Teaching Knowledge" to a "Structural OS for Cultivating Worldlines"By ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...