13diamond's repositories
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
deep-learning
personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN
Deep-Learning-for-Tracking-and-Detection
Collection of papers and other resources for object tracking and detection using deep learning
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
MachineLearning
Machine Learning in Action(机器学习实战)
SJTU-Courses
上海交通大学课程资料分享
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)