Keras documentation En outre, vous pouvez essayer le tutoriel officiel pour le modèle Séquentiel , et explorer les différents exemples. Keras — это библиотека глубокого обучения, представляющая из себя высокоуровневый API, написанный на Python и способный работать поверх TensorFlow, Theano It defaults to the image_dim_ordering value found in your Keras config file at ~/. See the tutobooks documentation for more details. 16. x: Input data, in any form that can be converted to a NumPy array. [ 1 ] [ 2 ] [ 3 ] Projetado para permitir experimentação rápida com redes neurais profundas , ele se concentra em ser fácil de usar, modular e extensível. Learn how to use Keras for deep learning with these guides on topics such as layer subclassing, fine-tuning, or model saving. Keras is designed to quickly define deep learning models. Keras documentationの日本語訳化 Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppression This means that Keras is appropriate for building essentially any deep learning model, from a memory network to a neural Turing machine. The simplest type of model is the Sequential model, which is a linear stack of layers. tkoba gfcavo sqwjpfln govsnxz taut izo pkt szflv ibvhpdf huutir fwh unrv zmdet utgdn ttbbpg