路喵甲自學紀錄：AI 與其他有的沒的

https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#package-manager-metas

破千顆星的 GitHub 超強資源包，所有好用的「深度學習」資源都在這裡啦！ https://buzzorange.com/techorange/2019/01/21/github-deep-learning/ deep-learning-ocean https://github.com/machinelearningmindset/deep-learning-ocean 擁有 17,000 顆星的 GitHub 大神開課！90 分鐘傳授，如何只用 JavaScript 建構神經網路 https://buzzorange.com/techorange/2018/12/25/neural-networks-in-javascript/ Neural networks in JavaScript https://scrimba.com/g/gneuralnetworks Github: DeepSpeech https://github.com/PaddlePaddle/DeepSpeech Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin http://proceedings.mlr.press/v48/amodei16.html

高斯混合模型 EM 算法的 Python 实现 http://www.codebelief.com/article/2017/11/gmm-em-algorithm-implementation-by-python/ 【machine learning】GMM算法（Python版） https://blog.csdn.net/gugugujiawei/article/details/45583051 Github gmm-em-clustering https://github.com/wrayzheng/gmm-em-clustering gmm-classifier https://github.com/guillaumekln/gmm-classifier gmm https://github.com/xzp27/gmm

深度学习目标检测：RCNN，Fast，Faster，YOLO，SSD比较 https://blog.csdn.net/ikerpeng/article/details/54316814 R-CNN、fast-RCNN、faster-RCNN到yolo、SSD简要 https://blog.csdn.net/sum_nap/article/details/80388110 深度学习目标检测模型全面综述：Faster R-CNN、R-FCN和SSD https://zhuanlan.zhihu.com/p/29434605 Python 3 & Keras YOLO v3解析与实现 https://www.jianshu.com/p/3943be47fe84 Github: ssd_keras https://github.com/pierluigiferrari/ssd_keras

Deep Learning Toolbox https://www.mathworks.com/help/deeplearning/index.html https://www.mathworks.com/products/deep-learning.html MATLAB與深度學習 https://www.terasoft.com.tw/matlab-simulink/solutions/deep-learning/ Neural Network Toolbox, 類神經網路工具箱 https://www.terasoft.com.tw/matlab-simulink/products/neural-network.html Getting Started with Deep Learning Toolbox https://www.mathworks.com/examples/deep-learning/category/getting-started-with-deep-learning-toolbox

Deep Visualization:可视化并理解CNN https://zhuanlan.zhihu.com/p/24833574 Github: keras-grad-cam https://github.com/jacobgil/keras-grad-cam 凭什么相信你，我的CNN模型？（篇一：CAM和Grad-CAM) http://bindog.github.io/blog/2018/02/10/model-explanation/ 凭什么相信你，我的CNN模型？（篇二：万金油LIME) http://bindog.github.io/blog/2018/02/11/model-explanation-2/ Grad-CAM 介紹 — Grad-CAM:Visual Explanations from Deep Networks via Gradient-based Localization https://medium.com/@xiaosean5408/grad-cam-%E4%BB%8B%E7%B4%B9-grad-cam-visual-explanations-from-deep-networks-via-gradient-based-localization-5a91dc6003b8 Visualizing Outputs of each layer of a CNN Model during Training Phase https://www.ir.com/blog/visualizing-outputs-cnn-model-training-phase

【TensorFlow】迁移学习（使用Inception-v3） https://blog.csdn.net/White_Idiot/article/details/78816850 keras系列︱迁移学习：利用InceptionV3进行fine-tuning及预测、完美案例（五） https://blog.csdn.net/sinat_26917383/article/details/72982230

深度学习之Bottleneck Layer or Bottleneck Features https://blog.csdn.net/u011501388/article/details/80389164 deep feature 和 bottleneck feature 是不是一个概念? https://www.zhihu.com/question/51793452 深度信念网络的Bottleneck特征提取方法 http://www.xml-data.org/GLDZKJDXXB/html/ba74981a-13b9-4bc8-be21-f3a27e56b951.htm