文件名称：tf2-tutorial:Tensorflow 2教程（以更好的方式使用tensorflow和keras！）
文件大小：14.77MB
文件格式：ZIP
更新时间：2024-06-11 18:47:22
deep-learning tensorflow keras tf2 tensorflow-tutorials
Tensorflow 2（以更好的方式使用tensorflow和keras！） 使用tf.data构建Tensorflow输入管道 Tf2和Keras中的回调 使用tf.data构建Tensorflow输入管道 滑动： 影片[波斯文]： Python笔记本： Tf2和Keras中的回调 幻灯片： 影片[波斯文]： Python笔记本： https://github.com/Alireza-Akhavan/tf2-tutorial
【文件预览】：
tf2-tutorial-master
----chollet notebooks()
--------[keras_io]_vae_functional.ipynb(668KB)
--------[keras_io]_Text_classification_from_raw_text_(IMDB).ipynb(34KB)
--------[keras_io]_Intro_to_Keras_for_Engineers.ipynb(58KB)
--------[keras_io]_transfer_learning.ipynb(1.24MB)
--------[keras_io]_class_activation_maps.ipynb(1.47MB)
--------[keras_io]_customizing_what_happens_in_fit.ipynb(25KB)
--------[keras_io]_Neural_style_transfer.ipynb(2.01MB)
--------[keras_io]_Image_classification_from_scratch.ipynb(1.78MB)
--------addition_rnn.ipynb(57KB)
--------[keras_io]_deep_dreams.ipynb(1.78MB)
--------Endpoint_layers_tf_keras.ipynb(8KB)
--------[keras_io]_Using_pre_trained_word_embeddings.ipynb(36KB)
--------[keras_io]_Intro_to_Keras_for_Researchers.ipynb(55KB)
--------Keras_quasi_SVM.ipynb(9KB)
----tf.data()
--------3-Preprocessing-image-data.ipynb(261KB)
--------fsns.tfrec(7.54MB)
--------4-transfer_learning-VGG.ipynb(8KB)
--------1.txt(15B)
--------2-ETL-Transformations.ipynb(82KB)
--------2.txt(11B)
--------1-ETL-extract.ipynb(6KB)
----README.md(763B)
----functional()
--------intro.ipynb(11KB)
----callbacks()
--------image_summaries.ipynb(6KB)
--------.ipynb_checkpoints()
--------stop_training.ipynb(3KB)
--------cyclical-learning-rates.ipynb(5KB)
--------clr_callback.py(4KB)
--------ModelCheckpoint-part1-SaveAndRestoreModels.ipynb(7KB)
--------EarlyStopping.ipynb(71KB)
--------ModelCheckpoint-part2-namedFormatting-save_freq-period.ipynb(12KB)
--------LambdaCallback.ipynb(3KB)
--------simple_callback.ipynb(5KB)
--------grad_cam.png(69KB)
--------ModelCheckpoint-part3-resumingTraining.ipynb(7KB)
--------Tensorboard-part04-LearningRateScheduler-and-resumingTraining.ipynb(7KB)
--------CSVLogger.ipynb(2KB)
--------cat.1504.jpg(25KB)
--------Lr_finder.ipynb(19KB)
--------learningratefinder.py(5KB)
--------lr.txt(103B)
--------explainer.ipynb(111KB)
--------Tensorboard-part01-GoogleColab.ipynb(3KB)
--------LearningRateScheduler-read-from-file.ipynb(6KB)
--------stop training.ipynb(2KB)
--------Tensorboard-part01.ipynb(4KB)
--------Tensorboard-part03-LearningRateScheduler.ipynb(5KB)
--------LearningRateScheduler.ipynb(4KB)
--------Tensorboard-part02-update_freq-histogram_freq.ipynb(4KB)