indiejoseph / Cnn Text Classification Tf Chinese
CNN for Chinese Text Classification in Tensorflow
Stars: ✭ 237
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Cnn Text Classification Tf Chinese
Rmdl
RMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+58.23%)
Mutual labels: convolutional-neural-networks, cnn, text-classification
Chinese Text Classification
Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/
Stars: ✭ 284 (+19.83%)
Mutual labels: chinese, cnn, text-classification
Multi Class Text Classification Cnn
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Stars: ✭ 410 (+73%)
Mutual labels: convolutional-neural-networks, cnn, text-classification
Text Classification Cnn Rnn
CNN-RNN中文文本分类，基于TensorFlow
Stars: ✭ 3,613 (+1424.47%)
Mutual labels: chinese, cnn, text-classification
Cnn Question Classification Keras
Chinese Question Classifier (Keras Implementation) on BQuLD
Stars: ✭ 28 (-88.19%)
Mutual labels: chinese, cnn, text-classification
Iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-31.22%)
Mutual labels: convolutional-neural-networks, cnn
Cnnimageretrieval
CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Stars: ✭ 168 (-29.11%)
Mutual labels: convolutional-neural-networks, cnn
Anime4k
A High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+5842.19%)
Mutual labels: convolutional-neural-networks, cnn
Hdltex
HDLTex: Hierarchical Deep Learning for Text Classification
Stars: ✭ 191 (-19.41%)
Mutual labels: convolutional-neural-networks, text-classification
Text Classification Demos
Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...
Stars: ✭ 144 (-39.24%)
Mutual labels: cnn, text-classification
Bilinear Cnn Tensorflow
This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Stars: ✭ 187 (-21.1%)
Mutual labels: convolutional-neural-networks, cnn
Pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-2.53%)
Mutual labels: convolutional-neural-networks, cnn
Tf Adnet Tracking
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (-31.65%)
Mutual labels: convolutional-neural-networks, cnn
Simple cnn
Simple Convolutional Neural Network Library
Stars: ✭ 158 (-33.33%)
Mutual labels: convolutional-neural-networks, cnn
Autoclint
A specially designed light version of Fast AutoAugment
Stars: ✭ 171 (-27.85%)
Mutual labels: convolutional-neural-networks, cnn
Vdcnn
Implementation of Very Deep Convolutional Neural Network for Text Classification
Stars: ✭ 158 (-33.33%)
Mutual labels: convolutional-neural-networks, text-classification
Depression Detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Stars: ✭ 187 (-21.1%)
Mutual labels: convolutional-neural-networks, cnn
Iseebetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-14.77%)
Mutual labels: convolutional-neural-networks, cnn
Cnn 3d Images Tensorflow
3D image classification using CNN (Convolutional Neural Network)
Stars: ✭ 199 (-16.03%)
Mutual labels: convolutional-neural-networks, cnn
Style transfer
CNN image style transfer 🎨.
Stars: ✭ 210 (-11.39%)
Mutual labels: convolutional-neural-networks, cnn
CNN for Chinese Text Classification in Tensorflow
Sentiment classification forked from dennybritz/cnn-text-classification-tf, make the data helper supports Chinese language and modified the embedding from word-level to character-level, though that increased vocabulary size, and also i've implemented the Character-Aware Neural Language Models network structure which CNN + Highway network to improve the performance, this version can achieve an accuracy of 98% with the Chinese corpus
This code belongs to the "Implementing a CNN for Text Classification in Tensorflow" blog post.
It is slightly simplified implementation of Kim's Convolutional Neural Networks for Sentence Classification paper in Tensorflow.
Requirements
- Python 2.7
- Tensorflow 0.9.0
- Numpy
Running
Print parameters:
./train.py --help
optional arguments:
-h, --help show this help message and exit
--embedding_dim EMBEDDING_DIM
Dimensionality of character embedding (default: 128)
--filter_sizes FILTER_SIZES
Comma-separated filter sizes (default: '1,2,3,4,5,6,8')
--num_filters NUM_FILTERS
Number of filters per filter size (default: '50,100,150,150,200,200,200')
--l2_reg_lambda L2_REG_LAMBDA
L2 regularizaion lambda (default: 0.0)
--dropout_keep_prob DROPOUT_KEEP_PROB
Dropout keep probability (default: 0.5)
--batch_size BATCH_SIZE
Batch Size (default: 32)
--num_epochs NUM_EPOCHS
Number of training epochs (default: 100)
--evaluate_every EVALUATE_EVERY
Evaluate model on dev set after this many steps
(default: 100)
--checkpoint_every CHECKPOINT_EVERY
Save model after this many steps (default: 100)
--allow_soft_placement ALLOW_SOFT_PLACEMENT
Allow device soft device placement
--noallow_soft_placement
--log_device_placement LOG_DEVICE_PLACEMENT
Log placement of ops on devices
--nolog_device_placement
Train:
./train.py
References
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].