- published: 13 Jan 2016
- views: 15363
The code with which you can run experiments is the following: python python/classify.py --print_results examples/images/cat.jpg foo
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...
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
Having an existing CAFFE implementation? Struggling to understand it? Import them into #DARVIZ and make your life easier!
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
Follow our Spotify Playlist - https://CafeDelMar.lnk.to/ibizaplaylist Visit our website for more http://www.cafedelmarmusic.com Tracklist : Chris Coco - Summer Sun Cantoma - Gambarra Groove Armada - History Blank & Jones - Pura Vida Chilly Gonzales - Knight Moves Bent - KISSES Moby - Lie Down In Darkness Sven Van Hees - Chillin At Soles Bar Climatic - La Luna Guy J - Lamur New selection every Wednesday » Website http://www.cafedelmarmusic.com » Facebook http://smarturl.it/cdmfacebook » 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...
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03
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...
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
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
HOW TO MAKE ANY VENDING MACHINE GIVE FREE MONEY WITH VENDING MACHINE HACKS! YOU CAN Get FREE money and stuff from any vending machines with these codes and tricks! How to make free money and other tricks in this video! Learn how to make a vending machine pay!
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
code is on GitHub: https://github.com/yankailab/OpenKAI
We are holding a coding camp for 3 talented students. Our aim is to take them from writing "Hello World" to developing a fully fledged mobile game in a week. The students, Rabiul, Mamun and Foyez are all from underpriviliged backgrounds and have been studying at CAFFE for a few years. So far they have learned a lot about Scratch but we felt it was time they got serious about coding. We have decided to teach Lua and use it with Corona SDK as we have found this is a very effective way for beginners to be able to make their own mobile apps. Foyez recently took part in a nation wide Game Jam where he helped design artwork for his team's mobile app. See them in action here: https://www.youtube.com/playlist?list=PLR_eGkq2qO5ZTFG_FbHWOPYpfQWSTpmGt In this video, our 3 students spent the whole...
In Lecture 8 we discuss the use of different software packages for deep learning, focusing on TensorFlow and PyTorch. We also discuss some differences between CPUs and GPUs. Keywords: CPU vs GPU, TensorFlow, Keras, Theano, Torch, PyTorch, Caffe, Caffe2, dynamic vs static computational graphs Slides: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture8.pdf -------------------------------------------------------------------------------------- Convolutional Neural Networks for Visual Recognition Instructors: Fei-Fei Li: http://vision.stanford.edu/feifeili/ Justin Johnson: http://cs.stanford.edu/people/jcjohns/ Serena Yeung: http://ai.stanford.edu/~syyeung/ Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medici...
We're going to make our own Image Classifier for cats & dogs in 40 lines of Python! First we'll go over the history of image classification, then we'll dive into the concepts behind convolutional networks and why they are so amazing. Coding challenge for this video: https://github.com/llSourcell/how_to_make_an_image_classifier Charles-David's winning code: https://github.com/alkaya/TFmyValentine-cotw Dalai's runner-up code: https://github.com/mdalai/Deep-Learning-projects/tree/master/wk5-speed-dating More Learning Resources: http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/ https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ http://cs231n.github.io/convolutional-networks/ http://deeplearning.net/...
Injicerar och raderar
Vet inte vad som fungerar
Släng dossiern på bordet
Du har ju sagt det sista ordet
Flatline – ett två
Jag kan inte längre gå
För du har kapat av mina ben
Trots att man härdar ut
Märker man sin dödlighet
Känns det inte som att man
Befinner sig bland idioter
Flatline – ett två
Jag kan inte längre gå