Deep learning with C++ - an introduction to tiny-dnn
1. tiny-dnn is a header-only deep learning framework for C++ that aims to be easy to introduce, have simple syntax, and support extensible backends. 2. It allows defining neural networks concisely using modern C++ features and supports common network types like MLPs and CNNs through simple syntax similar to Keras and TensorFlow. 3. The framework has optional performance-oriented backends like AVX
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DeepLearning Advent Calendar,6日目ã®è¨˜äº‹ã§ã™ã€‚ Deep Learningフレームワークも世ã®ä¸ã«éšåˆ†ã¨å……実ã—ã¦ããŸæ˜¨ä»Šã€ã„ã‹ãŒãŠéŽã”ã—ã§ã—ょã†ã‹ã€‚今日ã¯C++プãƒã‚°ãƒ©ãƒžãŒç°¡å˜ã«å°Žå…¥ã§ãã‚‹Deep Learningフレームワークã€tiny-dnnを紹介ã—ã¾ã™ã€‚ ã¾ã¨ã‚ C++ã§Deep Learningã‚„ã‚‹ãªã‚‰ã€tiny-dnnãŒä¾¿åˆ© Header-only＆外部ä¾å˜ãªã—ã§ç°¡å˜å°Žå…¥ Caffeã‹ã‚‰ã®ã‚¤ãƒ³ãƒãƒ¼ãƒˆã‚„シリアライズãªã©ã®å„種機能ã«ã‚‚対応 ã„ã‚ã‚“ãªãƒ‡ãƒã‚¤ã‚¹ä¸Šã§å‹•ã‹ã—ãŸã„人ã€æ—¢æˆã®Modelï¼‹Î±ã‚’ç´ æ—©ãアプリケーション化ã—ãŸã„人ã€C++ã§Deep Learningã‚’ç†è§£ã—ãŸã„人ã«æœ€é© 背景 Deep Learningフレームワークã¨ã„ãˆã°ã€ Chainer TensorFlow Caffe ã‚ãŸã‚ŠãŒæœ‰åã§ã™ã。他ã«ã‚‚è€èˆ—ã®Theanoã«Torchã€Tens
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GitHub - tiny-dnn/tiny-dnn: header only, dependency-free deep learning framework in C++14
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