Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. The ability to anticipate air quality in advance is critical for public authorities and the general publi
Reinforcement learning refers to goal-oriented algorithms, which learn how to attain a complex objective (goal) or maximize along a particular dimension over many steps.
This paper aims to explore the application of deep learning in smart contract vulnerabilities detection. Smart contracts are an essential part of blockchain technology and are crucial for developing decentralized applications. However, smart contract vul
Get started with deep learning on Azure Support image recognition with neural networks or optimize natural language processing with fast, easy, accurate BERT NLP models. Explore how to build, train, and deploy all types of deep learning models with Azure Machine Learning. ...
In addition, we used 0.001 as the learning rate and 128 as the batch size, with Adam method used to optimize the gradient descent, according to the literature experience. Moreover, we used dropout regularization to reduce overfitting with 0.1 as drop rate in the neutral network of decoder. ...
The DLT now is based on HALCON 23.05 Progress. It is now possible to optimize and calibrate deep learning models for int8. Currently, only the TensorRT plugin allows exporting models for int8. The number of used calibration images can be configured before evaluation and model export. The DLT...
Explore top machine learning frameworks for AI and deep learning, including TensorFlow, PyTorch, Keras, and more.
For guidance on choosing algorithms for your solutions, see the Machine Learning Algorithm Cheat Sheet. Foundation Models in Azure Machine Learning are pre-trained deep learning models that can be fine-tuned for specific use cases. Learn more about Foundation Models (preview) in Azure Machine...
For guidance on choosing algorithms for your solutions, see the Machine Learning Algorithm Cheat Sheet. Foundation Models in Azure Machine Learning are pre-trained deep learning models that can be fine-tuned for specific use cases. Learn more about Foundation Models (preview) in Azure Machine Learni...
Types of deep learning models Deep learning algorithms are incredibly complex, and there are different types of neural networks to address specific problems or datasets. Here are six. Each has its own advantages and they are presented here roughly in the order of their development, with each succ...