Data Science Stack Exchange

2

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2

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21

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Where does the “deep learning needs big data” rule come from

machine-learning deep-learning bigdata model-selection pac-learning

modified 1 hour ago Media 6,933

0

votes

0

answers

6

views

Understanding LSTM structure

deep-learning keras lstm rnn

asked 2 hours ago kg_sYy 101

0

votes

0

answers

4

views

Keras regression adding model depth

python deep-learning keras regression

asked 2 hours ago HenryHub 130

0

votes

0

answers

8

views

Execution time of the same algorithm for different runs

python deep-learning tensorflow gpu

asked 6 hours ago ARAT 143

3

votes

1

answer

50

views

Can CBOW model only accept fixed number of words?

deep-learning nlp word2vec natural-language-process

modified 8 hours ago Mohit Motwani 289

0

votes

0

answers

12

views

Data Representation for sequential input NN

deep-learning data

asked 18 hours ago gto 1

0

votes

0

answers

7

views

Approach fpr extracting/cropping features images using deeplearning and no annotations

machine-learning deep-learning tensorflow computer-vision convolution

asked 20 hours ago L Xandor 106

1

vote

0

answers

16

views

Moroccan License Plate Recognition (LPR) using OpenCV and Tesseract

deep-learning ocr opencv

asked yesterday Soufiane Sabiri 14

1

vote

0

answers

11

views

Reasons why training error can go up after more training?

machine-learning deep-learning

asked 2 days ago user637140 38

2

votes

1

answer

22

views

Multivariate Time Series Binary Classification

machine-learning python neural-network deep-learning time-series

answered 2 days ago Shamit Verma 466

2

votes

2

answers

71

views

Why Sckit's fit_transform causes a huge drop in accuracy and all other evaluation metrics?

machine-learning deep-learning keras scikit-learn

modified 2 days ago Community♦ 1

3

votes

2

answers

478

views

what is difference between the DDQN and DQN?

deep-learning reinforcement-learning dqn deep-network weight-initialization

modified 2 days ago Community♦ 1

1

vote

0

answers

8

views

What is the interpretation of the expectation notation in the GAN formulation?

machine-learning deep-learning statistics generative-models

asked Feb 15 at 20:25 xela 6

1

vote

0

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24

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Deeplearning without an objective function?

deep-learning gan objective-function

asked Feb 15 at 18:09 user637140 38

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Where does the “deep learning needs big data” rule come from

Understanding LSTM structure

Keras regression adding model depth

Execution time of the same algorithm for different runs

Can CBOW model only accept fixed number of words?

Data Representation for sequential input NN

Approach fpr extracting/cropping features images using deeplearning and no annotations

Moroccan License Plate Recognition (LPR) using OpenCV and Tesseract

Reasons why training error can go up after more training?

Multivariate Time Series Binary Classification

Why Sckit's fit_transform causes a huge drop in accuracy and all other evaluation metrics?

what is difference between the DDQN and DQN?

What is the interpretation of the expectation notation in the GAN formulation?

Deeplearning without an objective function?

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