Deep learning is not just the talk of the town among tech folks. Deep learning allows us to tackle complex problems, training artificial neural networks to recognize complex patterns for image and ...

So what exactly is Keras? Let's put it this way, it makes programming machine learning algorithms much much easier. It simply runs atop Tensorflow/Theano, cutting down on the coding and increasing ...

By the end of the book, you’ll pack everything into a complete Python deep learning library, creating your own class hierarchy of layers, activation functions, and neural network architectures ...

Keywords: deep convolutional neural network, deep learning, ultrasound, benign ovarian tumor, high-grade serous carcinoma. Citation: Wu M, Cui G, Lv S, Chen L, Tian Z, Yang M and Bai W (2023) Deep ...

This research aims to investigate the adaptability of several existing deep-learning architectures for semantic segmentation in off-road environments. Previous studies of two Convolutional Neural ...

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

1 Faculty of Information Systems and Computer Science, October 6 University, Giza, Egypt; 2 Faculty of Computers and Artificial Intelligence, Information Technology Department, Matrouh University, ...