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docs/python_docs/python/tutorials/getting-started/index.rst
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Zhenghui Jin
[v2.0][DOC] Add migration guide (#20473)
10 сен 2021, 00:03
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10 сен 2021, 00:03
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.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Getting Started =============== The following tutorials teach how to use MXNet. .. container:: cards .. card:: :title: A 60-minute Gluon crash course :link: crash-course/index.html A quick overview of the core concepts of MXNet using the Gluon API. .. card:: :title: Moving from other frameworks :link: to-mxnet/index.html Guides that ease your transition to MXNet from other framework. .. card:: :title: Logistic Regression Explained :link: logistic_regression_explained.html Logistic Regression with MXNet Gluon Explained .. card:: :title: MNIST Training :link: https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/image/mnist.html MNIST Training with MXNet .. card:: :title: Gluon From Experiment To Deployment :link: gluon_from_experiment_to_deployment.html A tutorial on implementing linear regression using MXNet APIs. .. card:: :title: Gluon2.0: Migration Guide :link: gluon_migration_guide.html Migrate from MXNet v1.x to v2.x. .. toctree:: :hidden: :maxdepth: 2 crash-course/index to-mxnet/index gluon_from_experiment_to_deployment gluon_migration_guide logistic_regression_explained.md MNIST <https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/image/mnist.html>