I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.
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Updated
Aug 18, 2020 - Python
I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.
Code repository for the manuscript "Modeling naturalistic face processing in humans with deep convolutional neural networks" (https://doi.org/10.1101/2021.11.17.469009)
Parking space detection with tflearn and python
Training latent spaces in a DCNN Autoencoder network with the FMNIST dataset.
Handwriting Recognition with Deep Convolutional Neural Network (DCNN)
Japanese Handwritten Character Recognition using DropBlock Regulzarization
Keras based implementation of "Deconvolutional Paragraph Representation Learning"
implementation of dynamic convolutional neural network for text classification
Pytorch implementation of a sentence sentiment classification model with CNN, RNN, RNF (Recurrent Neural Filter) and BERT
Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
All kinds of neural text classifiers implemented by Keras
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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