Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Topics Spotlight: AI-ready data centers ...

Deep learning is actively used in a wide range of fields for scientific discovery. To effectively apply deep learning to a particular problem, it is important to select an appropriate network ...

Open source deep learning neural networks are coming of age. There are several frameworks that are providing advanced machine learning and artificial intelligence (A.I.) capabilities over ...

An interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell RNA-seq data. Requirements. Python 3.6; conda 4.4.10; keras ...

Let’s take a look at the 10 best Python libraries for deep learning: 1. TensorFlow. TensorFlow is widely considered one of the best Python libraries for deep learning applications. Developed by the ...

We propose a new trainable visualization method for plant diseases classification based on a Convolutional Neural Network (CNN) architecture composed of two deep classifiers. The first one is named ...

Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and apps Purchase of the print or Kindle book includes a free PDF ...