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1 answer

25 views

What other Machine Learning techniques other than Neural Networks are there?

neural-networks machine-learning deep-learning ai-field

nbro

33.8k

answered 8 hours ago

0 votes

1 answer

96 views

Can you use a graph as input for a neural network?

neural-networks machine-learning

CommunityBot

1

modified 13 hours ago

1 vote

0 answers

14 views

Does deep RL techniques only interested in 'unit transitions' rather than 'whole experience'?

neural-networks deep-rl experience-replay iid

hanugm

3,131

modified yesterday

0 votes

0 answers

12 views

Is this the correct way to backpropagate a Neural Network?

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Ghull

11

asked yesterday

2 votes

1 answer

3k views

What are some good alternatives to U-Net for biomedical image segmentation?

neural-networks convolutional-neural-networks reference-request image-segmentation u-net

CommunityBot

1

modified yesterday

0 votes

2 answers

80 views

Which models can I use for supervised learning with images?

neural-networks machine-learning unsupervised-learning autoencoders supervised-learning

CommunityBot

1

modified 2 days ago

0 votes

0 answers

9 views

Time series prediction

neural-networks machine-learning

Fly

1

modified 2 days ago

1 vote

1 answer

72 views

How does backpropagation know which weights to change?

neural-networks backpropagation

CommunityBot

1

modified Jul 1 at 19:02

1 vote

1 answer

73 views

Hand-Signs Recognition using Deep Learning Convolutional Neural Networks

neural-networks deep-learning convolutional-neural-networks classification keras

CommunityBot

1

modified Jul 1 at 18:04

0 votes

1 answer

52 views

YearPrediction dataset for a regression task: is it possible to evaluate a fair comparison between standard loss and a quadratic one?

neural-networks machine-learning regression loss

CommunityBot

1

modified Jul 1 at 13:01

1 vote

0 answers

13 views

Neural network: Initial weights for layer with non-negative constraint

neural-networks weights-initialization

Philipp123

111

asked Jul 1 at 12:59

14 votes

4 answers

2k views

Why are the initial weights of neural networks randomly initialised?

neural-networks training weights weights-initialization

ksgr5566

21

modified Jul 1 at 12:34

4 votes

3 answers

362 views

Iteratively and adaptively increasing the network size during training

neural-networks deep-learning reference-request training neuroevolution

NikoNyrh

345

answered Jul 1 at 10:08

3 votes

2 answers

90 views

Why some neural network models in the 1980s shown as circuit models

neural-networks papers neurons hopfield-network

dawen

131

modified Jul 1 at 8:46

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What other Machine Learning techniques other than Neural Networks are there?

Can you use a graph as input for a neural network?

Does deep RL techniques only interested in 'unit transitions' rather than 'whole experience'?

Is this the correct way to backpropagate a Neural Network?

What are some good alternatives to U-Net for biomedical image segmentation?

Which models can I use for supervised learning with images?

Time series prediction

How does backpropagation know which weights to change?

Hand-Signs Recognition using Deep Learning Convolutional Neural Networks

YearPrediction dataset for a regression task: is it possible to evaluate a fair comparison between standard loss and a quadratic one?

Neural network: Initial weights for layer with non-negative constraint

Why are the initial weights of neural networks randomly initialised?

Iteratively and adaptively increasing the network size during training

Why some neural network models in the 1980s shown as circuit models

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