Google Colaboratory

Жанр: Научная фантастика, бизнес литература, бизнес идеи

(серия рассказов - Жизнь Декарта)

Действие: Сайман анализировал числа(плоскости).

Герои: Сайман - ИИ (Виртуальные очки на лице Декарта)

Декарт - сотрудник аналитического отдела

https://machinelearningmastery.com

https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

https://github.com/pymc-devs/pymc3

https://vk.com

https://www.mql5.com

https://www.r-bloggers.com/grnn-and-pnn

https://cyberleninka.ru

https://habr.com

Stochastic gradient descent

https://keras.io/optimizers

http://100byte.ru/stdntswrks/loss/loss.html

http://www.100byte.ru/python/loss/loss.html

https://trainmydata.com/article/kak-dielat-priedskazaniia-s-keras

https://github.com/keras-team/keras

https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

https://github.com/matroid/dlwithtf

https://github.com/ageron/handson-ml

http://www.allitebooks.com/tensorflow-for-deep-learning

http://www.lib.tpu.ru

http://www.techbook.ru

https://github.com/elegant-scipy/elegant-scipy

Elegant SciPy

https://github.com/rasbt/python-machine-learning-book-2nd-edition

https://www.yumpu.com/en/document/read/59496699/hands-on-machine-learning-with-sckit-learn-and-tensorflow

https://www.oracle.com/technetwork/articles/dsl/python-091105.html

https://towardsdatascience.com

https://pytorch.org/tutorials/advanced/neural_style_tutorial.html

https://github.com/eriklindernoren/Keras-GAN

http://pandas.pydata.org/pandas-docs/stable

https://docs.scipy.org/doc/scipy/reference

https://docs.scipy.org/doc/numpy/reference

https://adventuresinmachinelearning.com

https://github.com/tensorflow/datasets

https://neurohive.io/ru/datasety/tensorflow-datasets

https://colab.research.google.com/notebooks

https://drive.google.com/drive/my-drive

https://github.com/luispedro/BuildingMachineLearningSystemsWithPython

https://datascience.stackexchange.com/questions/41636/what-is-the-best-way-to-read-sql-dataset-in-to-tensorflow

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/ru/guide/keras.ipynb

https://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html

https://scikit-learn.org/stable

https://scipy.org/docs.html

https://scipy.org

Аппроксимация нелинейной функции

https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/function

https://www.tensorflow.org/alpha/tutorials/eager/tf_function

https://github.com/tensorflow/tensorflow

https://pythonworld.ru/osnovy/rabota-s-modulyami-sozdanie-podklyuchenie-instrukciyami-import-i-from.html

https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/data/experimental/SqlDataset

https://github.com/migueldeicaza/TensorFlowSharp

https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras

https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/data/Dataset

https://www.tensorflow.org/versions/r2.0/api_docs/python/tf

https://github.com/tensorflow/examples

https://keras.io

https://www.tensorflow.org

https://desktop.github.com

https://github.com/DLSchool/dlschool

https://jakevdp.github.io/PythonDataScienceHandbook

https://neurohive.io/ru

https://github.com/Gewissta/Introduction_to_ML_with_Python_russian_translation

https://www.anaconda.com/distribution

https://www.spyder-ide.org

https://www.asozykin.ru/deep_learning/2017/09/07/Keras-Installation-TensorFlow.html

https://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/tree/master

https://github.com/fchollet/deep-learning-with-python-notebooks

https://keras.io/why-use-keras

https://www.manning.com/books/deep-learning-with-python

http://jupyter.org

http://nbviewer.jupyter.org

https://www.portnov.com

https://cognitiveclass.ai

https://colab.research.google.com/notebooks/welcome.ipynb

https://colab.research.google.com/notebooks/io.ipynb

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