6
convolutional-neural-networks
× 5 |
2
computer-vision
|
0
classification
× 2 |
0
resource-request
|
4
neural-networks
× 10 |
1
gradient-descent
× 5 |
0
regression
× 2 |
0
momentum
|
4
machine-learning
× 8 |
1
optimization
× 3 |
0
recurrent-neural-networks
× 2 |
0
neuromorphic-engineering
|
3
training
× 4 |
1
stochastic-gradient-descent
× 3 |
0
loss-functions
× 2 |
0
spiking-neural-networks
|
3
linear-regression
|
1
learning-rate
|
0
hyperparameter-optimization
× 2 |
0
neuroscience
|
3
relu
|
1
proofs
|
0
comparison
× 2 |
0
reservoir-computing
|
3
non-linear-regression
|
1
feedforward-neural-network
|
0
adam
|
0
topology
|
2
deep-learning
× 8 |
1
backpropagation
|
0
pytorch
|
0
theory
|
2
datasets
× 3 |
1
multilayer-perceptron
|
0
early-stopping
|
0
image-recognition
|
2
reference-request
× 3 |
1
regularization
|
0
tensorflow
|
0
information-theory
|
2
overfitting
× 2 |
1
federated-learning
|
0
applications
|
0
testing
|
2
dimensionality-reduction
|
1
iid
|
0
research
|
0
features
|
2
principal-component-analysis
|
1
performance
|
0
programming-languages
|
0
feature-engineering
|
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