AnyoneAI
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AnyoneAI aims to democratize AI education by providing an intuitive and interactive platform to gain a solid understanding of AI and learn how to solve problems with it.
Bumps [flask](https://github.com/pallets/flask) from 1.1.1 to 2.3.2. Release notes Sourced from flask's releases. 2.3.2 This is a security fix release for the 2.3.x release branch. Security advisory: https://github.com/pallets/flask/security/advisories/GHSA-m2qf-hxjv-5gpq, CVE-2023-30861 Changes: https://flask.palletsprojects.com/en/2.3.x/changes/#version-2-3-2...
_Dependabot Preview will be shut down on August 3rd, 2021. In order to keep getting Dependabot updates, please merge this PR and migrate to GitHub-native Dependabot before then._ Dependabot has...
Bumps [flask](https://github.com/pallets/flask) from 1.1.1 to 2.0.1. Release notes Sourced from flask's releases. 2.0.1 Changes: https://flask.palletsprojects.com/en/2.0.x/changes/#version-2-0-1 2.0.0 New major versions of all the core Pallets libraries, including Flask 2.0, have been...
Bumps [gevent](https://github.com/gevent/gevent) from 1.4.0 to 21.1.2. Changelog Sourced from gevent's changelog. Changelog Commits f567d6b Preparing release 21.1.2 8849b37 Merge pull request #1761 from gevent/issue1760 7d5462e Appveyor: Build and test Python...
When calling Keras's model.fit(), create a TensorBoard callback instance and pass it by default. Example: ``` log_dir="logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S") tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1) model.fit(x=x_train, y=y_train, epochs=5, validation_data=(x_test, y_test), callbacks=[tensorboard_callback]) ```