SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
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mc_training.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 30.0 KB - MD5: 66a78413da4c03da02c5a5008da0b758
plot_examples.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 7.8 KB - MD5: e0a9c47d11dafdac11d2558296c89e00
README.md
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Markdown Text - 5.3 KB - MD5: 681760ae446fff1be139c4ff640fb034
requirements.txt
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Plain Text - 637 B - MD5: 09b283d76024ec31e9134f8d4bf7636d
run_nn_setups.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 30.7 KB - MD5: ea8311dc8c3e079b3caa9a1c6774412a
show_training.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 17.1 KB - MD5: c0aeba6d65554d5395ca28296a781ea0
tex_head.txt
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Plain Text - 4.9 KB - MD5: 4c5247ed7dab1c2c29f8e470d1dc271e
tex_tail.txt
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Plain Text - 124 B - MD5: 47aeb495fcff06691708ae2515da5e49
TrainingSetup.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 11.2 KB - MD5: 73b9c67f5a7a2513bee4c2b93e33e34c
train_star_dataset.py
Jun 20, 2022 - Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Python Source Code - 20.0 KB - MD5: 92dd31d212970c4a430d131855d5631d
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