bi-lab / deeplearning_tutorial
☆66Updated 7 years ago
Alternatives and similar repositories for deeplearning_tutorial:
Users that are interested in deeplearning_tutorial are comparing it to the libraries listed below
- ☆25Updated 7 years ago
- ☆52Updated 6 years ago
- Notebooks of TensorFlow Korea (https://tensorflowkorea.wordpress.com)☆44Updated 7 years ago
- ☆51Updated 5 years ago
- Repository for Machine Learning Challenge 2017 Online round☆30Updated 7 years ago
- Dataset I collected. Usually I have found these dataset in research papers.☆63Updated 5 years ago
- Easily visualize embedding on tensorboard with thumbnail images and labels.☆27Updated 7 years ago
- Deep Learning☆43Updated 6 years ago
- Code of TensorFlow Study : Sung Kim's 모두를 위한 딥러닝☆24Updated 8 years ago
- Torch를 이용한 문자 단위의 언어(한글) 모델을 훈련하기 위한 멀티 레이어 Recurrent Neural Network(LSTM, GRU, RNN)☆23Updated 8 years ago
- Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto☆57Updated 6 years ago
- ☆16Updated 7 years ago
- [Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)☆46Updated last year
- This repository contains the code for Machine Learning Challenge tutorial with MNIST.☆11Updated 7 years ago
- 스터디 뽀개기☆18Updated 7 years ago
- ☆30Updated 7 years ago
- Deep Learning으로 학습된 Object Detection Model 에 대해 정리한 Archive 임.☆19Updated 7 years ago
- A curated list of resources dedicated to Natural Language Processing for Korean☆50Updated 8 years ago
- Course Web page☆144Updated 7 years ago
- CS231n 번역 프로젝트☆179Updated 5 years ago
- ☆29Updated 7 years ago
- Face Recognition with Custom Dataset☆19Updated 8 years ago
- PyTorch KR Tutorial Competition 2018☆60Updated 6 years ago
- Tensorflow RNN Tutorial☆24Updated 4 years ago
- ☆95Updated 6 years ago
- Jupyter notes for education☆59Updated 6 years ago
- ☆11Updated 8 years ago
- RNN implementation using only Numpy. Try to learn binary digit addition.☆21Updated 7 years ago
- Image crawler to crawl images from google image search, which can download more than 100 images by send many search queries.☆19Updated 8 years ago
- Implementation of Batch Normalization Layer by Theano. Test Code with MNIST data.☆47Updated 9 years ago