User Shubham Panchal

14 votes

Accepted

Can a neural network compute $y = x^2$?

answered Mar 22, 2019 at 13:20

10 votes

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What is the job of "RepeatVector" and "TimeDistributed"?

answered Mar 2, 2019 at 2:37

7 votes

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Why using a frozen embedding layer in an LSTM model

answered Jun 2, 2019 at 11:20

7 votes

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What is the difference between an autoencoder and an encoder-decoder?

answered Jun 18, 2019 at 1:55

5 votes

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How do GD, Batch GD, SGD, and Mini-Batch SGD differ?

answered Jun 16, 2019 at 4:30

5 votes

When to use Standard Scaler and when Normalizer?

answered Feb 21, 2019 at 2:20

5 votes

Could anyone explain these terms, "input space", "feature space", "sample space", "hypothesis space", "parameter space" with a concrete example?

answered Sep 23, 2019 at 6:37

4 votes

Question answering (QA) vs Chatbots

answered Jan 13, 2020 at 14:35

4 votes

How to feed LSTM with different input array sizes?

answered Apr 7, 2019 at 10:57

4 votes

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How should I treat these non-English documents in the NLP task?

answered Apr 30, 2019 at 2:43

4 votes

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Using LeakyRelu as activation function in CNN and best alpha for it

answered Jun 22, 2019 at 7:36

3 votes

How to create a language translator from scratch?

answered Mar 14, 2019 at 6:33

3 votes

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What exactly is a trained model for machine-learning?

answered Jun 15, 2019 at 4:55

3 votes

Why do RNNs usually have fewer hidden layers than CNNs?

answered Jun 9, 2019 at 7:32

3 votes

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Exponential Linear Units (ELU) vs $log(1+e^x)$ as the activation functions of deep learning

answered Jun 10, 2019 at 1:43

3 votes

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How to best use geographical information as a factor?

answered Dec 17, 2019 at 14:10

3 votes

What is word embedding and character embedding ? Why words are represented in vector with huge size?

answered Oct 9, 2019 at 14:23

3 votes

How can I read input node and output node from .h5 file in keras model?

answered Jul 13, 2019 at 5:59

2 votes

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User Location Prediction

answered Jul 27, 2019 at 15:30

2 votes

Is Max Pooling and Conv used on anything else but images?

answered Aug 26, 2019 at 14:06

2 votes

How do autoencoders reconstruct images/color?

answered Oct 5, 2019 at 7:31

2 votes

Using a GAN discriminator as a standalone classifier

answered Jan 10, 2020 at 0:32

2 votes

Accepted

Different activation function in same layer of a Neural network

answered Apr 19, 2020 at 1:50

2 votes

can a perceptron be used for regression?

answered Jun 10, 2019 at 4:17

2 votes

Categorization of Natural Language Processing Tasks

answered May 19, 2019 at 2:11

2 votes

Accepted

Identifying users based on smartphone data (Google)

answered May 31, 2019 at 1:29

2 votes

How to label a dataset for Machine Learning?

answered May 9, 2019 at 8:37

2 votes

Implementing Multitask Classification in Keras

answered May 9, 2019 at 8:41

2 votes

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How mean and deviation come out with MNIST dataset?

answered Feb 26, 2019 at 2:13

2 votes

What is the difference? "Adding more LSTM layers" or "Increasing epochs"?

answered Feb 28, 2019 at 10:37

Stack Exchange Network

75 Answers

Can a neural network compute $y = x^2$?

What is the job of "RepeatVector" and "TimeDistributed"?

Why using a frozen embedding layer in an LSTM model

What is the difference between an autoencoder and an encoder-decoder?

How do GD, Batch GD, SGD, and Mini-Batch SGD differ?

When to use Standard Scaler and when Normalizer?

Could anyone explain these terms, "input space", "feature space", "sample space", "hypothesis space", "parameter space" with a concrete example?

Question answering (QA) vs Chatbots

How to feed LSTM with different input array sizes?

How should I treat these non-English documents in the NLP task?

Using LeakyRelu as activation function in CNN and best alpha for it

How to create a language translator from scratch?

What exactly is a trained model for machine-learning?

Why do RNNs usually have fewer hidden layers than CNNs?

Exponential Linear Units (ELU) vs $log(1+e^x)$ as the activation functions of deep learning

How to best use geographical information as a factor?

What is word embedding and character embedding ? Why words are represented in vector with huge size?

How can I read input node and output node from .h5 file in keras model?

User Location Prediction

Is Max Pooling and Conv used on anything else but images?

How do autoencoders reconstruct images/color?

Using a GAN discriminator as a standalone classifier

Different activation function in same layer of a Neural network

can a perceptron be used for regression?

Categorization of Natural Language Processing Tasks

Identifying users based on smartphone data (Google)

How to label a dataset for Machine Learning?

Implementing Multitask Classification in Keras

How mean and deviation come out with MNIST dataset?

What is the difference? "Adding more LSTM layers" or "Increasing epochs"?