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TensorFlow code and pre-trained models for BERT
Keywords: CNN, Fully connect neural network, SFEW dataset, Image Preprocessing, Data Augmentation, Leakey ReLU, k-fold cross validation, Casper. In this project, I build my own CNN system with Image Preprocessing and Data Augmentation which are based on the computation ability and characteristic of used Dataset. This project implemented with Pytorch.
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
This is a individual project. A structure 'Improved Casper' based on the Casper (Treadgold and Gedeon, 1997) Algorithm. Casper is an improved version of Cascor (Cascade Correlation) which is a Neural Network structure (Fahlman and Lebiere, 1990) is produced. The techniques used in original Casper algorithm are old claimed 20 years ago. In this project, I applied state-of-art techniques to improve the Casper Algorithm. The Dataset SFEW(Static Facial Expressions in the Wild) was used to evaluate Improved Casper. This project implemented with Pytorch.
PyTorch Tutorial for Deep Learning Researchers
Graph-Structured Referring Expressions Reasoning in The Wild, In CVPR 2020, Oral.
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Code for the paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Vision-Language Pre-training for Image Captioning and Question Answering
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