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ch1u20
CharlesPublic-BNN
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e189ae60bd63c92cab631abcd7625f00d33bb917
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Chutchins_Branch_Feature1
Elliot_Reborn
Jzhou_Amazing
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Created with Raphaël 2.2.0
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-More Cleaning
Chutchins_Branc…
Chutchins_Branch_Feature1
Merge remote-tracking branch 'origin/Chutchins_Branch_Feature1' into Chutchins_Branch_Feature1
-Generally Sorted out the repository a bit more.
master
master
-Reverting Changes in iridis_setup_python.sh
-Added a Requirements file
-Change File Paths in two models
-Tidying up tflite conversion code
-Commented some file paths out
Added file paths for Linux to GenerateMels_TUT2017.py
-I can generate a tflite model! you just need to build a new environment with TF 2.5 because nothing else works apart from that... HORAH! Such Tensorflow. Much Unreliable.
-Given up with tflite model
-Updated Model 13 with FP CNN changes
-Generally Sorted out the repository a bit more.
-Reverting Changes in iridis_setup_python.sh
-Added a Requirements file
-Change File Paths in two models
-Tidying up tflite conversion code
-Commented some file paths out
Added file paths for Linux to GenerateMels_TUT2017.py
-I can generate a tflite model! you just need to build a new environment with TF 2.5 because nothing else works apart from that... HORAH! Such Tensorflow. Much Unreliable.
-Given up with tflite model
Merge remote-tracking branch 'origin/Chutchins_Branch_Feature1' into Chutchins_Branch_Feature1
- Added some code to convert model to a tflite model (Not done yet)
-Updated Model 13 with FP CNN changes
-Start of benchmarking stuff
-Updated Learning Rate and Learning Rate Decay in Model_CH_12.py
-Updated Learning Rate and Learning Rate Decay
-Changed Iridis Script
-Changed File pAths back to Iridis
-Added batch norm to one of the layers in model 12, seemed to help with performance
-Changed FP kernel size to 3,3
-Added a run_on_iridis_gpu.sh file. For, surprisingly... running on gpu nodes ;)
-Change to Iridis file paths
-Binarised the Model, Added Jing's BOP optimiser and took some parameters from Model 11
-Created Model 12 which implements validation and test loss into the tensorboard metrics
Created a new CRNN model, implemented with some of Cagdas' suggestions.
-Added CNN Model, Full Precision with custom Adam Learning rate and Decay
BOP gamma=1e-3, gamma=1e-6
Jzhou_Amazing
Jzhou_Amazing
BOP gamma=1e-6, gamma=1e-3
BOP gamma=1e-6, gamma=1e-3
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