RNN Comparison

Comparing RNN architectures (spiking and Deep Learning) for SYDE675 using synthetic data.

Name		Name	Last commit message	Last commit date
datasets		datasets
nengo_lasagne		nengo_lasagne
rnncomp		rnncomp
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
aug-check.ipynb		aug-check.ipynb
basic_feed_test.py		basic_feed_test.py
comparison-recurrent-neural.pdf		comparison-recurrent-neural.pdf
dataset-check.ipynb		dataset-check.ipynb
dataset-gen-check.ipynb		dataset-gen-check.ipynb
deep_test.py		deep_test.py
demo.ipynb		demo.ipynb
demo_code.py		demo_code.py
explore.ipynb		explore.ipynb
make_ann_args.ipynb		make_ann_args.ipynb
make_run_arg-check.ipynb		make_run_arg-check.ipynb
plot_alif_exp.ipynb		plot_alif_exp.ipynb
plot_basic_net_test.ipynb		plot_basic_net_test.ipynb
plot_basic_rnn_test.ipynb		plot_basic_rnn_test.ipynb
plot_catchup_results.ipynb		plot_catchup_results.ipynb
plot_class_exp_results.ipynb		plot_class_exp_results.ipynb
plot_noise_exp_result.ipynb		plot_noise_exp_result.ipynb
plot_noise_results.ipynb		plot_noise_results.ipynb
plot_post_analysis.ipynb		plot_post_analysis.ipynb
plot_results.ipynb		plot_results.ipynb
repeat-check.ipynb		repeat-check.ipynb
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
sig_bias.ipynb		sig_bias.ipynb

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