Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...

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 ...

Deep learning neural networks, exemplified by models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs), have achieved remarkable ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The use of deep learning has grown rapidly ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Deep neural networks will move past their ...