https://github.com/rnbguy/acasxu_tf_keras
Tensorflow Keras models for ACAS Xu networks
https://github.com/rnbguy/acasxu_tf_keras
Last synced: about 1 year ago
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Tensorflow Keras models for ACAS Xu networks
- Host: GitHub
- URL: https://github.com/rnbguy/acasxu_tf_keras
- Owner: rnbguy
- License: mit
- Created: 2020-02-03T15:17:21.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-08-31T08:28:55.000Z (almost 5 years ago)
- Last Synced: 2025-04-10T17:57:14.879Z (about 1 year ago)
- Language: Python
- Size: 4.73 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# acasxu_tf_keras
Tensorflow Keras models for ACAS Xu networks
* * *
`model.summary()` output
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 50) 300
_________________________________________________________________
activation (Activation) (None, 50) 0
_________________________________________________________________
dense_1 (Dense) (None, 50) 2550
_________________________________________________________________
activation_1 (Activation) (None, 50) 0
_________________________________________________________________
dense_2 (Dense) (None, 50) 2550
_________________________________________________________________
activation_2 (Activation) (None, 50) 0
_________________________________________________________________
dense_3 (Dense) (None, 50) 2550
_________________________________________________________________
activation_3 (Activation) (None, 50) 0
_________________________________________________________________
dense_4 (Dense) (None, 50) 2550
_________________________________________________________________
activation_4 (Activation) (None, 50) 0
_________________________________________________________________
dense_5 (Dense) (None, 50) 2550
_________________________________________________________________
activation_5 (Activation) (None, 50) 0
_________________________________________________________________
dense_6 (Dense) (None, 5) 255
_________________________________________________________________
activation_6 (Activation) (None, 5) 0
=================================================================
Total params: 13,305
Trainable params: 13,305
Non-trainable params: 0