Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

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 ...

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 ...

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 ...

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 ...

You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine learning, and data engineering. Even then Skip to content ...