搜索资源列表
Bengio_deeplearning涓枃璇戠増
- 深度学习基础学习必备，介绍经典算法原理思想(The basic learning of deep learning is necessary, and the principles of classical algorithms are introduced.)
深度学习Deep Learning 中文版 2017.3.15
- 深度学习deeplearning 中文完整版 AI入门经典书籍，免费下载(Deep learning, a classic book on Artificial Intelligence, for students and researchers who are suitable for artificial intelligence)
Python Deep Learning - Valentino Zocca
- Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.
深度学习的基本理论与方法
- 这份ppt详细描述了深度学习德基本理论和方法,对deep learning的初学者有很大帮助.(This ppt describes in detail the basic theories and methods of deep learning, which is very helpful for beginners of deep learning.)
deep-learning-HAR-master
- 一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI pr
深度学习
- 深度学习相关理论与应用 深层网络介绍及应用(Theory and implementation of deep learning)
Deep Learning（深度学习）学习笔记整理
- 深度学习笔记，需要的可以看看，挺好的。有自己的一些见解。(Deep learning notes, you need to see, it's good. There are some ideas of your own.)
Deep+Learning+with+Python+2017
- 如何使用python实现深度学习，是外文电子书籍，书里的内容较容易上手(How to use Python to realize deep learning)
DeepLearning15May2014
- a paper of deep learning
Deep-Learning-TensorFlow-master
- tensorflow,深度学习框架，图像处理(Tensorflow, deep learning fr a mework, image processing)
DeepLearningPython_jb51
- 关于python的深度学习资源。关于python的深度学习教学。关于python的深度学习材料。(Deep learning resources for Python. The teaching of deep learning in Python. Deep learning materials about python.)
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
deep-pink-master (1)
- deep pink master ai
123
- 很好的深度学习资料，用深度学习dbn模型在这个轴承故障的分类上一个很好的应用(Using this deep learning DBN model in bearing fault classification)
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.)
DeepMind-Atari-Deep-Q-Learner-master
- 基于python环境的简明深度强化学习深度Q学习实现代码(Concise deep intensive learning based on Python environment and deep Q learning implementation code)
基于深度学习的汽车目标检测
- 通过使用Matlab软件，实现了基于深度学习的汽车目标检测。(By using Matlab software, vehicle detection based on deep learning is realized.)
cifar10_tutorial
- 非常适合入门的一个深度学习图片分类例程！(Very suitable for beginners to learn a deep picture classification routines!)
Deep-understanding-of-FPGA--design
- 深入理解Altera FPGA应用设计(Deep understanding of FPGA Altera application design)
RBM-DBN
- 有限玻尔兹曼机、深度置信网的Matlab实现，用mnist数据进行验证，对理解深度学习原理有帮助。(A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.)