- published: 13 Jan 2016
- views: 15947
The code with which you can run experiments is the following: python python/classify.py --print_results examples/images/cat.jpg foo
Please see the updated video at this link http://www.shaneahmed.com/2017/07/build-caffe-pycaffe-and-matcaffe-on.html Requirements Visual Studio 2015 https://www.visualstudio.com/downloads/ CMake 3.4 or higher https://cmake.org/download/ Python 3.5 Anaconda x64 (or Miniconda). https://www.continuum.io/downloads CUDA 8.0 https://developer.nvidia.com/accelerated-computing-toolkit cuDNN v5.1 (optional) https://developer.nvidia.com/cudnn Matlab http://mathworks.com caffe source code https://github.com/BVLC/caffe/tree/windows For Matlab make the following changes https://github.com/BVLC/caffe/pull/4928/files
Register for the full course and find the Q&A log at https://developer.nvidia.com/deep-learning-courses Caffe is a Deep Learning framework developed by the Berkeley Vision and Learning Center (BVLC) and by a large community of open-source contributors. Caffe allows the user to define, train and deploy Deep Neural Networks (DNNs) through accessible command line, Python and MATLAB interfaces. Caffe is fast due to integrated GPU acceleration. In this class we will introduce the following aspects of Caffe, demonstrated through a practical DNN training and deployment example: - Caffe program structure and core functionality - Data management within Caffe - DNN definition and training parameter selection - Monitoring DNN training - Deploying DNNs for classification or feature extraction
In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion. The code for the TensorFlow vs Theano part of the video is here: https://github.com/llSourcell/tensorflow_vs_theano An article that explains the differences in more detail: https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Learn more about TF Learn here: https://github.com/tflearn/tflearn and here: https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html Learn more about TensorFlow here: https://www.oreilly.com/learning...
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Thank you for 2014! All tracks taken from Café del Mar compilations released in 2014. Selected by Toni Simonen » Website » Facebook https://www.facebook.com/officialcafe... » Twitter https://twitter.com/CafedelMar_Ibz » iTunes http://smarturl.it/cafedelmaritunes This is the official YouTube channel of the iconic Café del Mar brand. We upload new HD chillout videos every week. Please relax & enjoy... Website: https://www.cafedelmarmusic.com
How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation work! In this video, i'll use python to code up a neural network in just 4 minutes using just the numpy library, capable of doing matrix mathematics. Code for this video: https://github.com/llSourcell/Make_a_neural_network I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Please Subscribe! That is the thing you could do that would make me happiest. I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 2 Great Neural Net Tutorials: (please subscribe for more videos like these! ) 1. https://medium.com/technology...
Full List of instructions at : http://www.shaneahmed.com/2017/07/build-caffe-pycaffe-and-matcaffe-on.html Requirements GIT for Windows https://git-scm.com/download/win cmake https://cmake.org/download/ Visual Studio 2015 https://www.visualstudio.com/downloads/, https://www.visualstudio.com/vs/older-downloads/ CMake 3.4 or higher https://cmake.org/download/ Python 3.5 Anaconda x64 (or Miniconda). https://www.continuum.io/downloads, https://repo.continuum.io/archive/ CUDA 8.0 https://developer.nvidia.com/cuda-downloads cuDNN v5.1 (optional) https://developer.nvidia.com/cudnn Matlab http://mathworks.com caffe source code https://github.com/BVLC/caffe/tree/windows
Having an existing CAFFE implementation? Struggling to understand it? Import them into #DARVIZ and make your life easier!
Only a few days left to sign up for my new course! Learn more and sign-up here https://www.theschool.ai/courses/decentralized-applications If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the popular deep learning frameworks, but knowing how it works is really useful. CUDA is the most popular of the GPU frameworks so we're going to add two arrays together, then optimize that process using it. I love CUDA! Code for this video: https://github.com/llSourcell/An_Introduction_to_GPU_Programming Alberto's Winning Code: https://github.com/alberduris/SirajsCodingChallenges/tree/master/Stock%20Market%20Prediction Hutauf's runner-up code: https://github.com/hutauf/Stock_Market_Prediction Please Subscribe! And like. And ...
One of the easiest ways to install the CAFFE framework on windows!
using trained caffe model in opencv application caffe model zoo OpenCV 3.2 visual studio 2017 c++ windows 10 (64bit) example of gender detection
"Cosa hai messo nel caffè? è il nuovo singolo di MALIKA AYANE estratto da "RICREAZIONE -- Sanremo edition". Download su iTunes: http://goo.gl/FCLzh Il brano è una cover di Riccardo Del Turco ed è stata interpretata per la prima volta sul palco dell'Ariston all'ultimo Festival di Sanremo 2013.
code is on GitHub: https://github.com/yankailab/OpenKAI
Threw together some code. BVLC reference net running on caffe and opencv doing image classification on an embedded system (Jetson TX1) in real time.