* Enable ruff ICN001 rule
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* added GELU activation functions file
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* Create ipconversion.py
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* forward_propagation(32, 450_000) # Was 10_000_000
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* issues fixed due to pi
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* renamed doppler_effect_of_sound.py to doppler_frequency.py
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This is super slick! Well done.
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* Added A General Swish Activation Function inNeural Networks
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* updating DIRECTORY.md
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* Fix deprecation warning in 2_hidden_layers_neural_network.py
Fix numpy deprecation warning:
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* Add binary step activation function
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* Added Squareplus Activation Function
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* Moved file relu.py from maths/ to neural_network/activation_functions
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* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
because it should be left out of the directory for the following
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1. Its sole purpose is to be used by neural_network/gan.py_tf, which is
itself left out of the directory because of issues with TensorFlow.
2. It was taken directly from TensorFlow's codebase and is actually
already deprecated. If/when neural_network/gan.py_tf is eventually
re-added back to the directory, its implementation should be changed
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* updating DIRECTORY.md
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* tanh function been added
* tanh function been added
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* elu activation is added
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* Try to fix ruff
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* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
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* MAINT: Used f-string method
Updated the code with f-string methods wherever required for a better and cleaner understanding of the code.
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* Update rsa_key_generator.py
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* Update lru_cache.py
I don't think this change is efficient but it might tackle the error as the error was due to using long character lines.
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* Text exception conditions
These are ValueErrors, not AttributeErrors.
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* Travis CI: Upgrade to Python 3.8
* updating DIRECTORY.md
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* pip install a current version of six
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When running tests withy pytest, some modules execute code in main scope
and open plot or browser windows.
Moves such code under `if __name__ == "__main__"`.
* fixup! Format Python code with psf/black push
* Factors of a number
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* Fix mypy issue in basic_maths.py
* Fix mypy error in perceptron.py
* def primes(max: int) -> List[int]:
* Update binomial_heap.py
* Add a space
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