文件名称：tensorflow2中文教程
文件大小：8.72MB
文件格式：RAR
更新时间：2024-05-27 09:59:30
tensorflow AI
tensorflow2_tutorials_chinese tensorflow2中文教程，持续更新（不定期更新） tensorflow 2.0 正式版已上线， 后面将持续根据TensorFlow2的相关教程和学习资料。 最新tensorflow教程和相关资源，请关注微信公众号：DoitNLP， 后面我会在DoitNLP上，持续更新深度学习、NLP、Tensorflow的相关教程和前沿资讯，它将成为我们一起学习tensorflow的大本营。 当前tensorflow版本：tensorflow2.0
【文件预览】：
tensorflow2_tutorials_chinese-master
----.gitignore(32B)
----105-example_regression.ipynb(251KB)
----005-keras_saving_and_serializing_model.ipynb(19KB)
----104-example_classify_structured_data.ipynb(25KB)
----031-Image()
--------001-image_classification.ipynb(1.1MB)
--------.ipynb_checkpoints()
--------pix2pix.ipynb(940KB)
----033-Estimators()
--------.ipynb_checkpoints()
--------001-boosted_trees.ipynb(73KB)
----026-Transformer()
--------001-Transformer.ipynb(103KB)
----007-Variables.ipynb(5KB)
----006-3-callback.ipynb(22KB)
----004-keras_write_layers_from_scratch.ipynb(24KB)
----022-CNN()
--------003-text_cnn.ipynb(42KB)
--------.ipynb_checkpoints()
--------002-cnn_variants.ipynb(68KB)
--------004-pretrained_cnn.ipynb(454KB)
--------dog.jpg(38KB)
--------001-cnn.ipynb(26KB)
----103-example_overfitting_and_underfitting.ipynb(242KB)
----024-AutoEncoder()
--------.ipynb_checkpoints()
--------cvae.gif(608KB)
--------cnn_vae.ipynb(91KB)
--------model.png(46KB)
--------002-cnn_autoencoder.ipynb(78KB)
--------001-autoencoder.ipynb(87KB)
----023-RNN()
--------.ipynb_checkpoints()
--------002-rnn_variance.ipynb(53KB)
--------003-cnn_rnn.ipynb(49KB)
----102-example_text_classification.ipynb(49KB)
----007-Ragged tensors.ipynb(3KB)
----008-AutoGraph.ipynb(16KB)
----101-example_image_classification.ipynb(1.1MB)
----106-example_save_and_restore_models.ipynb(21KB)
----032-Text()
--------nmt_with_attention.ipynb(99KB)
--------vecs.tsv(1.74MB)
--------.ipynb_checkpoints()
--------text_generation.ipynb(57KB)
--------meta.tsv(74KB)
--------002-text_classification_with_RNN.ipynb(93KB)
--------001-word_embeddings.ipynb(168KB)
----README.md(3KB)
----001-keras_overview.ipynb(65KB)
----020-Eager()
--------001-Tensor_and_operations.ipynb(10KB)
--------002-custom_layers.ipynb(40KB)
--------003-automatic_differentiation.ipynb(9KB)
--------005-custom_training_walkthrough.ipynb(81KB)
--------006-tf_function_and_autograph.ipynb(74KB)
--------004-custom_training_base.ipynb(39KB)
----006-eager_execution.ipynb(24KB)
----025-GAN()
--------.ipynb_checkpoints()
--------002-DCGAN.ipynb(604KB)
----040-App()
--------002-style_transfer.ipynb(2.37MB)
--------403-image_caption_with_attention.ipynb(1.38MB)
----002-keras_function.ipynb(321KB)
----006-keras_and_rnn.ipynb(33KB)
----021-MLP()
--------.ipynb_checkpoints()
--------001-MLP.ipynb(17KB)
--------002-MLP2.ipynb(136KB)
----006-marking and padding.ipynb(14KB)
----003-keras_training_and_evaluation.ipynb(419KB)
----007-Tensor.ipynb(10KB)