tensorflow参考文献
时间: 2023-11-20 19:59:51 浏览: 88
以下是几本关于TensorFlow的参考文献:
- TensorFlow Machine Learning Cookbook
- TensorFlow For Machine Intelligence
- Building Machine Learning Projects with TensorFlow
另外,如果你需要使用TensorFlow,你需要先进行一些准备工作,包括导入依赖模块和进行Pandas基本设置。具体可以参考以下代码:
```python
# 导入依赖模块
import numpy as np
import pandas as pd
import math
from matplotlib import pyplot as plt
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
# Pandas基本设置
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', -1)
```
相关问题
tpthon lstm 参考文献
以下是关于 Python LSTM 的一些参考文献:
1. [Keras LSTM文档](https://keras.io/layers/recurrent/)
2. [TensorFlow LSTM文档](https://www.tensorflow.org/api_docs/python/tf/keras/layers/LSTM)
3. [Python深度学习:基于Keras的实践](https://book.douban.com/subject/30293801/)
4. [Python深度学习](https://book.douban.com/subject/27087503/)
5. [Python深度学习编程](https://book.douban.com/subject/30412965/)
6. [LSTM Networks for Sentiment Analysis](https://towardsdatascience.com/lstm-networks-for-sentiment-analysis-cefa5e8b06bc)
关于tensorrt的参考文献
以下是一些关于TensorRT的参考文献:
1. TensorRT开发者文档:https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html
2. TensorRT白皮书:https://developer.download.nvidia.cn/assets/deeplearning/pdf/TensorRT-Whitepaper.pdf
3. TensorRT优化Caffe模型:https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#work_caffe
4. TensorRT优化TensorFlow模型:https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#work_tensorflow
5. TensorRT优化MXNet模型:https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#work_mxnet
6. TensorRT优化ONNX模型:https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#work_onnx
7. TensorRT Python API文档:https://docs.nvidia.com/deeplearning/tensorrt/api/python_api/index.html
希望这些文献能够帮助你更好地了解和使用TensorRT。