6
convolutional-neural-networks
× 5 |
1
optimization
× 2 |
0
perceptron
|
0
momentum
|
3
neural-networks
× 6 |
1
stochastic-gradient-descent
|
0
loss-functions
|
0
hyper-parameters
|
3
linear-regression
|
1
learning-rate
|
0
adam
|
0
neuromorphic-engineering
|
3
relu
|
1
proofs
|
0
overfitting
|
0
spiking-neural-networks
|
3
non-linear-regression
|
1
regularization
|
0
pytorch
|
0
neuroscience
|
2
deep-learning
× 6 |
0
hyperparameter-optimization
× 3 |
0
early-stopping
|
0
reservoir-computing
|
2
datasets
|
0
comparison
× 2 |
0
tensorflow
|
0
topology
|
2
computer-vision
|
0
recurrent-neural-networks
× 2 |
0
applications
|
0
theory
|
1
machine-learning
× 5 |
0
incremental-learning
|
0
research
|
0
image-recognition
|
1
gradient-descent
× 3 |
0
catastrophic-forgetting
|
0
programming-languages
|
0
information-theory
|
1
training
× 2 |
0
feedforward-neural-network
|
0
resource-request
|
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