Summary on deep learning framework --- TensorFlow Updated on 2018-07-22 21:28:11 1. Check failed: s.ok() could not find cudnnCreate in cudnn DSO;  tensorflow/stream_executor/cuda/cuda_dnn.cc:221] Check failed: s.ok() could not find cudnnCreate in cu…

Summary on deep learning framework --- PyTorch  Updated on 2018-07-22 21:25:42  import osos.environ["CUDA_VISIBLE_DEVICES"]="4" 1. install the pytorch version 0.1.11  ## Version 0.1.11 ## python2.7 and cuda 8.0 sudo pip install http://…

 Summary on deep learning framework --- Theano && Lasagne 2017-03-23 1. theano.function output = input ** 2  f = theano.function([input], output) print(f(3)) >> the output is: 3^2 = 9. 2.  verbose = 1 or 0, does it have any difference ?   so…

Summary on deep learning framework --- Torch7  2018-07-22 21:30:28 1. 尝试第一个 CNN 的 torch版本, 代码如下: -- We now have 5 steps left to do in training our first torch neural network -- 1. Load and normalize data -- 2. Define Neural Network -- 3. Define Loss…

https://imaginghub.com/blog/10-a-comparison-of-four-deep-learning-frameworks-tensorflow-cntk-mxnet-and-caffe This article will focus on some basic information about all of these, and some key points of differentiation to keep in mind which will allow…

Deep Learning framework --- MexNet 安装,测试,以及相关问题总结  一.安装:   参考博文:http://www.open-open.com/lib/view/open1448030000650.html  Note: gcc g++ 需要 4.8 版本. 二.…

Install and Compile MatConvNet: CNNs for MATLAB --- Deep Learning framework 2017-04-18  10:19:35 If you want to use matlab convnet, you just install according to the following tutorials: 1. Download and unzip the original source file from: http://www…

常用的deep learning frameworks 基本转自:http://www.codeceo.com/article/10-open-source-framework.html 1. Caffe 基于C++开发 2. Theano 大部分代码是使用CYthon开发的,主页有很详细的教程,在github上有Theano的软件包,另外还有一份pdf的tutorial 基于theano派生了许多的深度学习python软件包:Keras(documents).Lasagne(documents…

OS:Mac Python:3.6 一.先安装Keras,再安装TensorFlow 1. 安装Keras Package Version---------- -------h5py 2.7.1 Keras 2.1.6 numpy 1.14.3 PyYAML 3.12 scipy 1.1.0 six 1.11.0 2. 安装TensorFlow Package Version ----------- -----------absl-py 0.2.1 astor 0.6.2 bleach 1.5.…

将深度学习模型的训练从单GPU扩展到多GPU主要面临以下问题:(1)训练框架必须支持GPU间的通信,(2)用户必须更改大量代码以使用多GPU进行训练.为了克服这些问题,本文提出了Horovod,它通过Ring Allreduce实现高效的GPU间通信,而且仅仅更改少量代码就可以实现多GPU训练. TensorFlow中提供了一些分布式训练的API,这些API适用于不同的环境.这就导致用户往往不知道如何更改代码以进行分布式训练,而且debug也很困难.再者,TensorFlow的分布式训练性能与理…