1
accuracy
|
0
feature-extraction
|
2
math
|
0
regression
|
2
classification
× 2 |
2
gradient-boosting
|
0
model-request
|
3
selective-search
|
8
computer-vision
× 8 |
0
gradient-descent
|
3
multilayer-perceptron
|
0
stochastic-gradient-descent
|
5
convolutional-neural-networks
× 10 |
2
image-processing
× 2 |
6
neural-networks
× 6 |
2
support-vector-machine
× 2 |
0
cross-validation
|
1
image-segmentation
|
1
non-max-suppression
|
0
theory
|
3
data-preprocessing
× 2 |
0
keras
× 3 |
7
object-detection
× 9 |
2
training
× 3 |
0
datasets
× 2 |
1
learning-rate
|
2
optimization
|
0
vgg
|
3
deep-learning
× 5 |
2
logistic-regression
|
0
papers
× 2 |
1
weights
|
2
deep-neural-networks
|
3
long-short-term-memory
× 2 |
0
pretrained-models
|
|
1
fast-ai
|
2
loss-functions
|
3
r-cnn
× 2 |
|
3
faster-r-cnn
× 2 |
-1
machine-learning
× 2 |
3
recurrent-neural-networks
|
JVGD
