【RNN训练技巧】《Tips for Training Recurrent Neural Networks》by Danijar Hafner
链接:http://danijar.com/tips-for-training-recurrent-neural-networks/
【面向视觉识别的CNN报告集锦(2017)(斯坦福大学)】《Stanford University CS231n: Course Projects Spring 2017》
链接:http://cs231n.stanford.edu/reports.html
【 Tensorflow Seq2seq文本摘要(清华nlp)】“Tensorflow Seq2seq Text Summarization” by THUNLP
Github链接:https://github.com/thunlp/TensorFlow-Summarization
【用Tensorflow/OpenCV实现目标实时识别】《Building a Real-Time Object Recognition App with Tensorflow and OpenCV》by Dat Tran
Github链接: https://github.com/datitran/Object-Detector-App
【AI的未来】《The Future of AI: from Deep Learning to Deep Understanding, Ben Goertzel》
Youtube链接:https://www.youtube.com/watch?v=nbUg9IuIs_8
【基于Opencv/TensorFlow/mtcnn/Facenet的实时人脸检测/人脸识别】《Real time face detection and recognition base on Opencv/tensorflow/mtcnn/facenet》 by shanren7
Github链接:https://github.com/shanren7/real_time_face_recognition