GitHub - anantzoid/Conditional-PixelCNN-decoder: Tensorflow implementation of Gated Conditional Pixel Convolutional Neural NetworkYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
English | 简体中文 | 日本語 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the first independent R&D deep learning platform in China, has been officially open-sourced to professional communities since 2016. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well
卒研用のメモ，機械学習の基礎と畳み込みニューラルネットワークとは何か
WhatisCNN.md 畳み込みニューラルネットワーク RBMとは何か Restricted Bolzmann Machine 通常のボルツマンマシンとは違い，可視ユニット同士，不可視ユニット同士の連結を認めない 制限付きボルツマンマシン のことを指す 通常1層ではなく，何層かに重ねて使われる RBMを1段階学習した後，不可視ユニットの活性(値)をより高階層のRBMの入力データとする 不可視ユニットを効率的に学習させることができ，また計算量を現実的な水準に落としている ある訓練データvが与えられたとき、条件付き確率p(hj=1|v)が計算でき、その意味は「vが与えられたとき hjがONになる(1になる)確率 」 DBNとは何か Deep Belief Network RBMを多数重ねて 、下の層から順にRBMを1つずつ学習させるというアイデア DBNは2006年にGeoffrey Hin
GitHub - gokceneraslan/awesome-deepbio: A curated list of awesome deep learning applications in the field of computational biology
A curated list of awesome deep learning applications in the field of computational biology 2007-08 | Fast model-based protein homology detection without alignment | Sepp Hochreiter, Martin Heusel, and Klaus Obermayer | Bioinformatics 2012-07 | Deep architectures for protein contact map prediction | Pietro Di Lena, Ken Nagata and Pierre Baldi Bioinformatics 2012-10 | Predicting protein residue–resi
awesome-deep-learning-papers/README.md at master · terryum/awesome-deep-learning-papers
Before this list, there exist other awesome deep learning lists, for example, Deep Vision and Awesome Recurrent Neural Networks. Also, after this list comes out, another awesome list for deep learning beginners, called Deep Learning Papers Reading Roadmap, has been created and loved by many deep learning researchers. Although the Roadmap List includes lots of important deep learning papers, it fee
GitHub - MickyDowns/deep-theano-rnn-lstm-car: Pack of Drones: Layered reinforcement learning (Q-learning w/ RNN) for complex "hunt" behaviors
Drone movement and coordination are learned thru five independently-trained neural networks in four categories of operation. Specifically: avoid: The first two neural networks enable the drone to avoid obstacles. The turn RNN trains a drone moving at constant speed to avoid stationary and moving obstacles. Inputs are a set of five sonar sensor readings that emanate from the front of the drone. Out
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GitHub - leriomaggio/deep-learning-keras-tensorflow: Introduction to Deep Neural Networks with Keras and Tensorflow
GitHub - kevinlin311tw/cvpr16-deepbit: Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)
GitHub - sindresorhus/emoj: Find relevant emoji from text on the command-line :sparkles: :horse: :see_no_evil:
GitHub - yohokuno/dl4nlp: Deep learning for natural language processing
GitHub - erikbern/deep-fonts: Generate fonts using deep learning
GitHub - vdumoulin/conv_arithmetic: A technical report on convolution arithmetic in the context of deep learning
GitHub - terryum/awesome-deep-learning-papers: The most cited deep learning papers
GitHub - dennybritz/deeplearning-papernotes: Summaries and notes on Deep Learning research papers
GitHub - alx-tools/deep-learning
GitHub - dennybritz/cnn-text-classification-tf: Convolutional Neural Network for Text Classification in Tensorflow
GitHub - jisungk/deepjazz: Deep learning driven jazz generation using Keras & Theano!
GitHub - DeepMark/deepmark: THE Deep Learning Benchmarks
GitHub - jazzsaxmafia/Weakly_detector: Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
GitHub - yujiosaka/js-mind: Deep Learning Library Written in ES2015.
