[NLP] The TF-IDF In Text Mining
TF-IDF (Term Frequency – Inverse Document Frequency) is a famous word weighting technology, it can show the importance of words to texts.
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[Python] Use ShuffleSplit() To Process Cross-Validation Step
Cross-validation is an important concept in data splitting of machine learning. Simply to put, when we want to train a model, we need to split data to training data and testing data.
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[PyTorch] How To Use pad_packed_sequence() And pack_padded_sequence() To Adjust Sequence Length
When we use RNN network (such as LSTM and GRU), we can use Embedding layer provided from PyTorch, and receive many different length sequence sentence input.
Read More »[PyTorch] How To Use pad_packed_sequence() And pack_padded_sequence() To Adjust Sequence Length[Solved][PyTorch] TypeError: expected Tensor as element 0 in argument 0, but got list
Problem
Today, when I was trying to use nn.Embedding() to splice and calculate sentence vectors by myself, I got an error like this on the DataLoader I prepared in advance:
[Python] A Note About Coding Style Recommended By Google
Recently, I have to complete a personal side project and transfer to my friend, he want to continue to add some features he wants.
Read More »[Python] A Note About Coding Style Recommended By Google[PyTorch] Use nn.Embedding() To Load Gensim Pre-trained Model Weight
If you are using PyTorch to processing NLP tasks, you must be familiar with nn.Embedding() in PyTorch.
[Python] Use OpenCV To Convert JP2 To PNG Or JPEG
What is JPEG 2000 (JP2)
JPEG 2000, also known as JP2 in the title of this article, is a format for image files, and the extension is .jp2. The compression ratio of JP2 is better than JPEG.
[PyTorch] Use “ModuleList” To Reduce The Line Of Code That Define The Model
When we using PyTorch to build the model for deep learning tasks, sometimes we need to define more and more model layer.
It is so irritating. No one wants to keep pasting similar code over and over again.
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[NLP] Use BLEU To Calculate Similarity Of Sentences
BLEU (Bilingual Evaluation Understudy) is an algorithm for evaluating text similarity, which is often used to evaluate the similarity between machine translation and human translation.
Read More »[NLP] Use BLEU To Calculate Similarity Of Sentences[Machine Learning] Introduction To AutoEncoder (With PyTorch Code)
What Is AutoEncoder ?
AutoEncoder is often referred to as AE for short. It is a neural network for unsupervised learning, in other words, it does not require labaled data.
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