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Jul 24, 2022
Vision Language Pre-training Model
Multimodal model pre-training introduction
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Sep 12, 2021
pre-training model in NLP
from word embeddings to pre-training model based on large-scale data set to better capture and represent the contextual information including Word2Vec, ELMo, Transformer, Transformer-XL, GPT, BERT, XLNet and ERNIE
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Feb 2, 2021
InceptionNet
The Explanation of GoogLeNet, Inception-v2, Inception-v3, Inception-v4 and Inception-ResNet
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Feb 1, 2021
evaluation metrics in language model
common evaluation metrics in language model: BLEU, ROUGE, Perplexity
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Jan 25, 2021
object detection and segmentation
A brief introduction about R-CNN, Fast R-CNN, Faster R-CNN, SSD, YOLO and Mask R-CNN
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Jan 22, 2021
MobileNets, EfficientNet and EfficientDet
suitable network architecture design to achieve the trade-off between model efficiency (computing and storage resources, model size and latency) and model accuracy
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Jan 8, 2021
ranking algorithm
Ranking methods including PageRank, BM25 and Learning to Rank (L2R)
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Jan 7, 2021
named entity recognition methods
Short summary of NER: HMM, CRF, BI-LSTM, BI-LSTM-CRF, BERT-BI-LSTM-CRF
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Jan 5, 2021
Hyperparameter optimization
the common hyperparameter tuning methods are as following: Grid search, Random search and Bayesian optimization
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Jan 4, 2021
git command to recover the modification
git command without using git add, with using git add and git commit
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Jan 4, 2021
optimization algorithm for neural network
A brief introduction of gradient descent optimization algorithms
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May 31, 2016
Deep Reinforcement Learning: Pong from Pixels
fork from Andrej Karpathy blog