User Hima Varsha

33 votes

Accepted

Should a model be re-trained if new observations are available?

answered Jul 13, 2016 at 12:44

16 votes

When to use GRU over LSTM?

answered Oct 17, 2016 at 12:13

11 votes

How can I get a measure of the semantic similarity of words?

answered Jul 21, 2016 at 9:17

10 votes

Accepted

How do i pass data into keras?

answered Nov 14, 2016 at 8:55

8 votes

Accepted

What is a tower?

answered Jan 17, 2017 at 9:30

6 votes

What is Reinforcement Learning?

answered Oct 4, 2016 at 10:03

6 votes

Accepted

Which Amazon EC2 instance for Deep Learning tasks?

answered Mar 13, 2017 at 11:34

6 votes

Accepted

Is SuperLearning actually different to stacking,or are they essentially the same thing?

answered Jun 30, 2016 at 5:34

6 votes

Why convolute if Max Pooling is just going to downsample the image anyway?

answered Sep 21, 2016 at 9:24

5 votes

What is the difference between the training and testdata set?

answered Jul 6, 2016 at 7:25

5 votes

How to initialize a new word2vec model with pre-trained model weights?

answered Jul 12, 2016 at 8:02

4 votes

Accepted

String Values in a data frame in Pandas

answered Jul 29, 2016 at 17:58

4 votes

Accepted

LSTMs: what is $W_x$ & $U_z$ in $φ(W_x + U_z + b)$?

answered Jul 13, 2016 at 11:16

4 votes

Multiple output classes in keras

answered Jan 9, 2017 at 10:44

3 votes

Accepted

Example of binary classifier with numerical features using deep learning

answered Aug 12, 2016 at 8:53

3 votes

Why are sigmoid/tanh activation function still used for deep NN when we have ReLU?

answered Jul 11, 2016 at 11:51

2 votes

Can we use Stop Words while using multinomial navies theorem?

answered Jul 6, 2016 at 8:54

2 votes

How to ensemble classifier incorporating all features in python?

answered Jun 30, 2016 at 9:37

2 votes

How do you define the steps to explore the data?

answered Jul 3, 2016 at 8:47

2 votes

How to overcome training example's different lengths when working with Word Embeddings (word2vec)

answered Aug 1, 2016 at 10:11

2 votes

Accepted

Machine Learning Identification and Classification, based on string contents: General advice

answered Jul 12, 2016 at 10:21

2 votes

Accepted

Similar output from random forest and neural network

answered Aug 10, 2016 at 4:42

2 votes

Training Validation Testing set split for facial expression dataset

answered Oct 4, 2016 at 7:35

2 votes

Accepted

LSTM input in Keras

answered Oct 13, 2016 at 10:36

2 votes

Accuracy doesn't match in Keras

answered Oct 13, 2016 at 11:47

2 votes

Ensemble Techniques for multilabel data

answered Mar 24, 2017 at 9:26

1 vote

Optimizing CNN network

answered Mar 22, 2017 at 10:23

1 vote

Storing large data sets for python machine learning algorithm consumption

answered Sep 21, 2016 at 9:53

1 vote

Accepted

Word2vec - KeyError

answered Oct 18, 2016 at 13:00

1 vote

Accepted

What is 'parameter convergence'?

answered Nov 9, 2016 at 11:27

Stack Exchange Network

51 Answers

Should a model be re-trained if new observations are available?

When to use GRU over LSTM?

How can I get a measure of the semantic similarity of words?

How do i pass data into keras?

What is a tower?

What is Reinforcement Learning?

Which Amazon EC2 instance for Deep Learning tasks?

Is SuperLearning actually different to stacking,or are they essentially the same thing?

Why convolute if Max Pooling is just going to downsample the image anyway?

What is the difference between the training and testdata set?

How to initialize a new word2vec model with pre-trained model weights?

String Values in a data frame in Pandas

LSTMs: what is $W_x$ & $U_z$ in $φ(W_x + U_z + b)$?

Multiple output classes in keras

Example of binary classifier with numerical features using deep learning

Why are sigmoid/tanh activation function still used for deep NN when we have ReLU?

Can we use Stop Words while using multinomial navies theorem?

How to ensemble classifier incorporating all features in python?

How do you define the steps to explore the data?

How to overcome training example's different lengths when working with Word Embeddings (word2vec)

Machine Learning Identification and Classification, based on string contents: General advice

Similar output from random forest and neural network

Training Validation Testing set split for facial expression dataset

LSTM input in Keras

Accuracy doesn't match in Keras

Ensemble Techniques for multilabel data

Optimizing CNN network

Storing large data sets for python machine learning algorithm consumption

Word2vec - KeyError

What is 'parameter convergence'?