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January 25, 2017 06:07
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Deep Learning Vocab | |
MLP | |
Deep learning nugget of the day | |
(wow pls come up with a better metaphor) | |
Lots of these terms can be found by reviewing functions in the keras code, like this for activations for example: | |
https://github.com/fchollet/keras/blob/master/keras/activations.py | |
Unsupervised Learning | |
Supervised Learning | |
Reinforcement Learning | |
Q-Learning | |
Deep Learning | |
Linear Regression | |
Neural Networks | |
Keras | |
Torch | |
Caffe | |
DSSTNE | |
TensorFlow | |
Theano | |
Lasagne | |
LSTM | |
RNN | |
CNN | |
Gradient | |
Gradient Descent | |
Cost Function | |
RMS | |
Optimizers | |
------------------------------ | |
Adam Optimizer | |
SGD | |
RMSProp | |
Adadelta | |
Adagrad | |
Adamax | |
Nadam | |
Activations | |
------------------------------ | |
http://tflearn.org/activations/ | |
ELU | |
RELU | |
Tanh | |
Sigmoid | |
Hard Sigmoid | |
Linear | |
softmax | |
softplus | |
softsign | |
Data Sets | |
------------------------------ | |
Legacy, but still useful | |
------------------------------ | |
FFT | |
Uncategorized | |
------------------------------ | |
AlexNet | |
SciPy | |
CUDA | |
cuDNN | |
Autoencoder | |
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