https://github.com/wj-mcat/tensorflow2-nlp-getting-started

💯 💯 通过一系列的案例快速上手tensorflow2，以及自然语言处理的相关任务 ✨ ✨
https://github.com/wj-mcat/tensorflow2-nlp-getting-started

natural-language-processing nlp tensorflow tensorflow2

Last synced: about 2 months ago
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💯 💯 通过一系列的案例快速上手tensorflow2，以及自然语言处理的相关任务 ✨ ✨

• Host: GitHub
• URL: https://github.com/wj-mcat/tensorflow2-nlp-getting-started
• Owner: wj-Mcat
• License: apache-2.0
• Created: 2020-10-26T01:28:04.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2020-11-03T01:46:46.000Z (over 5 years ago)
• Last Synced: 2025-08-21T07:24:27.787Z (11 months ago)
• Topics: natural-language-processing, nlp, tensorflow, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 1.27 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# tensorflow2-nlp-getting-started

![](./assets/nlp.jpg)

> 通过一系列的案例快速上手tensorflow2，以及自然语言处理的相关任务

## Contents

### [1. basic-of-tensorflow](./1.basic-of-tensorflow)

- [1.1.tensor - 张量基础](./1.basic-of-tensorflow/1.1.tensor.ipynb)

- [1.2.tensor-operation 张量操作](./1.basic-of-tensorflow/1.2.tensor-operation.ipynb)

- [1.3.gradient - 梯度](./1.basic-of-tensorflow/1.3.gradient.ipynb)

- [1.4.mask & padding - 掩码 & 填充](./1.basic-of-tensorflow/1.4.mask.ipynb)

### 2. [building-models](./2.building-models)

- [2.1.layer-and-models 自定义层与模型](./2.building-models/2.1.layer_and_model.ipynb)

    - [auto-keras](./2.building-models/blog.autokeras.md)

- [2.2.multilayer-perceptron 多层感知机](./2.building-models/2.2.multilayer-perceptron.ipynb)

- [2.3.loss function - 损失函数](./2.building-models/2.3.loss.ipynb)

    - [how-to-choose-loss-function](./2.building-models/blog.how-to-choose-loss-function.md)

- [2.4.optimizer - 优化器](./2.building-models/2.4.optimizer.ipynb)

- [2.5.learning_rate_scheduler 学习率调整器](./2.building-models/2.5.learning_rate_scheduler.ipynb)

- [2.6.metrics - 评价指标](./2.building-models/2.6.metrics.ipynb)

- [2.7.rnn-examples - 循环神经网络](./2.building-models/2.7.rnn_examples.ipynb)

### 3. training

- [3.1.simple-training - 最简单的模型训练]()

- [3.2.checkpoint - 保存和加载最优模型权重]()

- [3.3.learning-rate-scheduler - 学习率调整器]()

- [3.4.warmup - 缓慢调整学习率]()

- [3.5.tf-record - 大数据量的数据处理方法]()

### 4. checkpoint