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Results tagged with deep-learning
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user 24883
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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Which one is better method and why? Manually Handcrafted sound features vs spectrogram + con...
I am working on classifying different sounds ( not speech or words exactly something like ambulance alarm, police alarm, cough sounds etc)
I read few paper which suggested to extract dsp features such …
- 425
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3
answers
1k
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LSTM -RNN : How to get continuous range output instead of categorical?
I am trying to solve a problem predicting a value between a range for a sentence:
The dataset looks like this:
Index_no text_sentence value
01 …
- 425
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1
answer
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How to deal with Nominal categorical with label encoding?
So if my dataset looks like this:
names life_style instrument times
0 sid creative piano 1.5
1 aadi artistic guitar 1.4
2 aman traveller drum 1.1
3 sid artisti …
- 425
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34
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How to download BibTex raw dataset for deep learning (LSTM )?
I am trying to test my model on the benchmark text classification dataset "Bibtex". The Bibtex dataset is available in tf-idf vectors but LSTM works on sequences. Bag of Words is a vectorized represen …
- 425
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votes
1
answer
2k
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How to use multiple text features for NLP classifier?
I am trying to build text classifier, Usually, we have one text column and ground truth. But I am working on a problem where dataset contains many text features. I am exploring different ways how to u …
- 425
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votes
2
answers
5k
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Preprocessing and dropout in Autoencoders?
I am working with autoencoders and have few confusions, I am trying different autoencoders like :
fully_connected autoencoder
convolutional autoencoder
denoising autoencoder
I have two dataset , O …
- 425
7
votes
1
answer
1k
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what actually word embedding dimensions values represent?
I am learning word2vec and word embedding , I have downloaded GloVe pre-trained word embedding (shape 40,000 x 50) and using this function to extract information from that:
import numpy as np
def lo …
- 425
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votes
1
answer
715
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Initial values of memory and previous block output in LSTM?
I am trying to understand LSTM and reading colah blog , As LSTM structure looks like this :
So LSTM takes three inputs:
Input vector
Memory from previous block
Output from previous block
and …
- 425
8
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3
answers
7k
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Bert-Transformer : Why Bert transformer uses [CLS] token for classification instead of avera...
I am doing experiments on bert architecture and found out that most of the fine-tuning task takes the final hidden layer as text representation and later they pass it to other models for the further d …
- 425
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3
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How to combine two different embeddings in the best way possible?
I have two models which are giving two books embedding
Ml_model_a => book1_embedding [ 1, 200 ]
Ml_model_b => book2_embedding [ 1, 200 ]
I am building a third model which will take these two differe …
- 425