btcd
使用 Go 实现的比特币全节点。
marcotav/deep-learning 是公开 GitHub 仓库,主要语言为 Jupyter Notebook。最近记录为 54 个星标及 23 个分支。 主题:bitcoin, convolutional neural networks, cryptocurrency, image classification, keras, lstm neural networks。 使用前请阅读文档、许可及当前问题记录。
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
热度基于 GitHub 星标。7 天增长需积累完整一周的本地快照。这是本站收录集合,不是 GitHub 官方趋势榜。
导入条目附有来源链接。收录用于发现服务,不代表推荐。