https://github.com/innofang/tensorflow2-from-zero
Learn TensorFlow 2.0
https://github.com/innofang/tensorflow2-from-zero
Last synced: 11 months ago
JSON representation
Learn TensorFlow 2.0
- Host: GitHub
- URL: https://github.com/innofang/tensorflow2-from-zero
- Owner: InnoFang
- License: apache-2.0
- Created: 2020-08-10T03:24:59.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-30T13:34:29.000Z (almost 5 years ago)
- Last Synced: 2025-01-10T09:20:38.087Z (12 months ago)
- Language: Jupyter Notebook
- Size: 32.3 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# tensorflow2-from-zero
TensorFlow 2.0 学习笔记
> 温馨提示：如果 clone 速度过慢，可以使用以下命令
>
> `git clone --depth 1 https://github.com.cnpmjs.org/InnoFang/tensorflow2-from-zero.git`
+ 01. 数据类型、张量、函数 -> [Overview.ipynb](01.%20Overview.ipynb)
+ 02. 用神经网络训练鸢尾花数据集 -> [Iris Classification.ipynb](02.%20Iris%20Classification.ipynb)
+ 03. 激活函数 -> [Activator.ipynb](03.%20Activator.ipynb)
+ 04. 损失函数 -> [Loss Function.ipynb](04.%20Loss%20Function.ipynb)
+ 05. 正则化 -> [Regularizer.ipynb](05.%20Regularizer.ipynb)
+ 06. 优化器 -> [Optimizer.ipynb](06.%20Optimizer.ipynb)
+ 07. 使用 tf.keras “六步法”搭建神经网络 -> [Keras Basic.ipynb](07.%20Keras%20Basic.ipynb)
+ 08. 使用 tf.keras 来训练 MNIST 数据集 -> [MNIST.ipynb](08.%20MNIST.ipynb)
+ 09. 对“六步法”搭建神经网络进行扩展 -> [Keras Advanced.ipynb](09.%20Keras%20Advanced.ipynb)
+ 10. 对卷积神经网络进行介绍 -> [CNN.ipynb](10.%20CNN.ipynb)
+ 11. 用 CNN 训练 Fashion MNIST 数据集 -> [CIFAR-10.ipynb](11.%20Fashion%20MNIST.ipynb)
+ 12. 使用 LeNet 训练 Fashion MNIST 数据集 -> [LeNet.ipynb](12.%20LeNet.ipynb)
+ 13. 使用 AlexNet 训练 Fashion MNIST 数据集 -> [AlexNet.ipynb](13.%20AlexNet.ipynb)
+ 14. 使用 VGGNet 训练 Fashion MNIST 数据集 -> [VGGNet.ipynb](14.%20VGGNet.ipynb)
+ 15. 使用 InceptionNet 训练 Fashion MNIST 数据集 -> [InceptionNet.ipynb](15.%20InceptionNet.ipynb)
+ 16. 使用 ResNet 训练 Fashion MNIST 数据集 -> [ResNet.ipynb](16.%20ResNet.ipynb)