# Deep Learning with TensorFlow
Deep Learning with TensorFlow by Packt
This is the code repository for [Deep Learning with TensorFlow](https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-tensorflow?utm_source=github&utm_medium=repository&utm_campaign=9781786469786), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the book from start to finish.
## About the Book
Deep learning is the step that comes after machine learning, and has more advanced implementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front seat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x.
Throughout the book, you’ll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including search, image recognition, and language processing. Additionally, you’ll learn how to analyze and improve the performance of deep learning models. This can be done by comparing algorithms against benchmarks, along with machine intelligence, to learn from the information and determine ideal behaviors within a specific context.
After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects.
## Instructions and Navigation
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
```
>>> import tensorflow as tf
>>> hello = tf.constant("hello TensorFlow!")
>>> sess=tf.Session()
```
All the examples have been implemented using Python version 2.7 on a Ubuntu Linux 64
bit including the TensorFlow library version 1.0.1.
You will also need the following Python modules (preferably the latest version):
Pip
Bazel
Matplotlib
NumPy
Pandas
Preface
. Only for Chapter 8, Advanced TensorFlow Programming and Chapter 9, Reinforcement
Learning, you will need the following frameworks:
Keras
Pretty Tensor
TFLearn
OpenAI gym
## Related Products
* [Deep Learning with TensorFlow [Video]](https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-tensorflow-video)
* [Machine Learning with TensorFlow](https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-tensorflow)
* [Building Machine Learning Projects with TensorFlow](https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-projects-tensorflow)
### Suggestions and Feedback
[Click here](https://docs.google.com/forms/d/e/1FAIpQLSe5qwunkGf6PUvzPirPDtuy1Du5Rlzew23UBp2S-P3wB-GcwQ/viewform) if you have any feedback or suggestions.
没有合适的资源?快使用搜索试试~ 我知道了~
《deep learning with tensorflow》随书源码
共119个文件
py:75个
png:38个
csv:3个
需积分: 10 8 下载量 7 浏览量
2018-01-06
16:33:31
上传
评论
收藏 18.82MB ZIP 举报
温馨提示
《deep learning with tensorflow》随书源码,想要学习tensorflow的朋友可以看看
资源推荐
资源详情
资源评论
收起资源包目录
《deep learning with tensorflow》随书源码 (119个子文件)
train.csv 33.68MB
test.csv 10.26MB
titanic_dataset.csv 81KB
author_img.jpg 35KB
LICENSE 1KB
README.md 3KB
gpu_soft_placemnet_1.png 467KB
gpu_example.png 464KB
gpu_computing_with_multiple_GPU.png 462KB
gpu_computing_with_multiple_GPU.png 462KB
flowers_model_training.png 325KB
deconvolutional_autoencoder.png 268KB
denoising_autoencoder.png 257KB
Bidirectional_RNN_shot1.png 239KB
LSTM_shot1.png 232KB
LSTM_shot2.png 229KB
Bidirectional_RNN_shot2.png 223KB
mnist_cnn.png 205KB
Q_Learning.png 193KB
pretty_tensor_snap1.png 163KB
Digit classiifcation.png 155KB
five_layers_relu_dropout.png 131KB
tflearn_titanic_clasiifer.png 124KB
Emotion Detector.png 120KB
classification_daisy_flower.png 113KB
Keras_movie_classifier.png 107KB
five_layers_relu_png.png 101KB
programming_model.png 93KB
tensorflow_with_numpy.png 87KB
FrozenLake.png 86KB
Test your image _1.png 85KB
tensor_flow_counter.png 84KB
pretty_tensor_snap2.png 82KB
computations_model.png 82KB
feeding_parameters.png 82KB
fetching_paramter.png 78KB
Digit classiifcation2.png 76KB
softmax_classiifer_1.png 56KB
autoencoder.png 53KB
single_input_neuron.png 52KB
five_layers_sigmod.png 47KB
data_model.png 39KB
softmax_cmodel_saver_1.png 26KB
Test your image _2.png 10KB
EmotionDetector_1.py 10KB
EmotionDetector_1.py 10KB
mnist_cnn_1.py 6KB
mnist_cnn_1.py 6KB
denoising_autoencoder_1.py 5KB
denoising_autoencoder_1.py 5KB
Convlutional_AutoEncoder.py 5KB
Convlutional_AutoEncoder.py 5KB
EmotionDetectorUtils.py 4KB
EmotionDetectorUtils.py 4KB
deconvolutional_autoencoder_1.py 4KB
autoencoder_1.py 4KB
autoencoder_1.py 4KB
digit_classifier.py 4KB
digit_classifier.py 3KB
deconvolutional_autoencoder_1.py 3KB
pretty_tensor_digit_1.py 3KB
pretty_tensor_digit_1.py 3KB
five_layers_relu_dropout_1.py 3KB
five_layers_relu_dropout_1.py 3KB
five_layers_relu_1.py 3KB
five_layers_relu_1.py 3KB
bidirectional_RNN_1.py 3KB
bidirectional_RNN_1.py 3KB
five_layers_sigmoid_1.py 2KB
five_layers_sigmoid_1.py 2KB
LSTM_model_1.py 2KB
LSTM_model_1.py 2KB
softmax_classifier_1.py 2KB
softmax_classifier_1.py 2KB
softmax_model_saver_1.py 2KB
softmax_model_saver_1.py 2KB
Q_Learning_1.py 2KB
Q_Learning_1.py 2KB
test_your_image.py 2KB
test_your_image.py 2KB
keras_movie_classifier_using_convLayer_1.py 2KB
keras_movie_classifier_using_convLayer_1.py 2KB
tensor_with_numpy_1.py 2KB
tensor_with_numpy_1.py 1KB
keras_movie_classifier_1.py 1KB
keras_movie_classifier_1.py 1KB
classify_image.py 1KB
classify_image.py 1KB
FrozenLake_1.py 1KB
FrozenLake_1.py 1KB
tflearn_titanic_classifier.py 1KB
gpu_example.py 961B
gpu_example.py 961B
gpu_soft_placemnet_1.py 955B
gpu_computing_with_multiple_GPU.py 952B
tflearn_titanic_classifier.py 896B
gpu_computing_with_multiple_GPU.py 896B
gpu_soft_placemnet_1.py 889B
single_neuron_model_1.py 770B
softmax_model_loader_1.py 766B
共 119 条
- 1
- 2
资源评论
普通网友
- 粉丝: 0
- 资源: 1
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功