“TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while r
Use Keras if you need a deep learning library that:Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility). Supports both convolutional networks and recurrent networks, as well as combinations of the two. Runs seamlessly on CPU and GPU....
Keras: Deep Learning library for Theano and TensorFlow You have just found Keras. Keras is a minimalist, highly modular neural networks library, written in Python and capable of running either on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation....
灵活高效的深度学习库 MXnet — A flexible and efficient library for deep learning 如果您的专业领域包括深度学习,那么您将发现MXNet非常适合。 MXNet用于训练和部署深度神经网络,具有高度可扩展性,并支持快速模型训练。 Apache的MXNet不仅可以使用Python,而且还可以使用其他多种语言,包括C ++,Perl,Julia,R,Scala,Go...
原作名:Deep Learning with Python 译者:张亮 出版年:2018-8 页数:292 定价:119.00元 装帧:平装 丛书:图灵程序设计丛书 ISBN:9787115488763 豆瓣评分 9.5 1053人评价 5星 78.3% 4星 17.7% 3星 3.3% 2星 0.5% 1星 0.3% 评价: 写笔记 写书评 加入购书单 ...
•名称：Pose2Sim •功能：Pose2Sim 是一个开源Python包，用于多视角无标记运动学分析。它提供了一...
链接：GitHub - zsdonghao/tensorlayer: TensorLayer: A Deep Learning and Reinforcement Learning Library ...
英文原文::Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision 标签:深度学习 Note that the visualization below, byGregory Piatetsky, represents each library by type, plots it by stars and contributors, and its symbol size is reflective of the number of commits the...
Deep learning with Python 学习笔记(2) 卷积神经网络keras图像处理 卷积神经网络接收形状为 (image_height, image_width, image_channels)的输入张量(不包括批量维度),宽度和高度两个维度的尺寸通常会随着网络加深而变小。通道数量由传入 Conv2D 层的第一个参数所控制 范中豪 2019/09/10 7360 如何从零开发一个复...
Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability. - DeepTrackAI/deeplay