搜索资源列表
rl04
- Lecture 4: Q-learning (table)
面向机器智能的TensorFlow实践
- 适合作为Tensorflow学习的入门书籍，很多基本概念讲的比较清楚(Suitable for Tensorflow as an introduction to learning books, explain many basic concepts more clear)
SRGAN-master
- 深度对抗学习用于超分辨率成像，在Windows平台下 使用TensorFlow(Depth confrontation learning for super resolution imaging)
Deep-Android-Malware-Detection-master
- jhabjsakdlnnfclk;sal;dmcnasbjvdhcvhsakjbclnklsan;ld,c';,msalnkcbsknd;clamslckbjasblcn las
Deep Learning
- 关于深度学习的一本很好的入门书，是中文的，很详细，公式推到很详细(On the depth of learning a good introductory book, is Chinese, very detailed, the formula is very detailed)
DEEP_LEARNING
- An analysis of single-layer networks in unsupervised feature learning
deep-learning_76202316
- This file contains some material about deep learning
DeepSpeech-master
- Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.
deep
- 用深度学习做黑烟检测的论文，很有用，欢迎大家下载。(Using deep learning to detect smoke.)
LIFT-master
- 基于训练端对端的深度卷积神经网络学习局部不变性特征(Local invariant feature of learning images based on the training end to end convolution neural network)
rasmusbergpalm-DeepLearnToolbox
- 深度学习程序包，内含多种网络结构的matlab实现。(The deep learning package contains matlab implementations of a variety of network structures.)
Landmark-based-deep-feature-learning-master
- 此matlab包是深度学习磁共振比较好用的工具。(deep learning for MRI)
buildingmachinelearningprojectswithtensorFlow
- 这本书包含了多个不同类型的工程，来说明TensorFlow在不同场景中的应用，这本书的工程包括了训练模型、机器学习、深度学习以及多种神经网络，每个工程都是一个精妙的、有意义的项目，会教我们如何使用TensorFlow并在使用中如何对数据分层。(This book contains a number of different types of engineering, to illustrate the application of TensorFlow in different scenario
Machine+Learning+in+Action
- 这是一本不错的深度学习资料,想要学习深度学习的千万不要错过(This is a good resource for deep learning)
simple-and-efficient-weighted-minwise-hashing
- Weighted minwise hashing (WMH) is one of the fundamental subroutine, required by many celebrated approximation algorithms, commonly adopted in industrial practice for large -scale search and learning. The resource bottleneck with WMH is the comput
Dynamic_Deep_Neural_Networks
- We introduce Dynamic Deep Neural Networks (D2NN), a new type of feed-forward deep neural network that allows selective execution. Given an input, only a subset of D2NN neurons are executed, and the particular subset is determined by the D2NN itse
978-89-6540-168-1_examples
- machine learning algorithm in c
tf-adnet-tracking-master
- 基于强化学习深度学习用于单目标跟踪算法的源码(Based on reinforcement learning, deep learning is used for single target tracking algorithm.)
qlearning4k-master
- qlearning4k是强化学习Python深度学习lib库Keras插件。它简单，是快速成型的理想选择。(Qlearning4k is a reinforcement learning add-on for the python deep learning library Keras. Its simple, and is ideal for rapid prototyping.)
py3-neural-network-master
- Python3.6实现神经网络算法，经过mnist数据集测试后表现良好，准确率约为95%-96%。 /src 为源代码 /data为mnist算集(This is a code samples for "Neural Networks and Deep Learning" using python3.)