Data Integration, Data Scarcity and Neural Network

Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

MAY 8, 2024

In this framework, an agent, like a self-driving car, navigates an environment based on observed sensory data, taking actions to maximize cumulative future rewards. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

Deep Learning

Deep Learning Neural Network Data Scarcity Natural Language Processing

Deep Learning for Medical Image Analysis: Current Trends and Future Directions

Heartbeat

NOVEMBER 27, 2023

Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs. Deep learning automates and improves medical picture analysis.

Deep Learning

Deep Learning Convolutional Neural Networks Explainability Neural Network

Artificial Intelligence Zone

Deep Learning Techniques for Autonomous Driving: An Overview

Deep Learning for Medical Image Analysis: Current Trends and Future Directions

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