# Intelligent-Projects-using-Python

**Repository Path**: yangxubbc/Intelligent-Projects-using-Python

## Basic Information

- **Project Name**: Intelligent-Projects-using-Python
- **Description**: Python人工智能项目实战
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-18
- **Last Updated**: 2024-11-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README




# Intelligent Projects Using Python

<a href="https://www.packtpub.com/big-data-and-business-intelligence/intelligent-projects-using-python?utm_source=github&utm_medium=repository&utm_campaign=9781788996921"><img src="https://www.packtpub.com/sites/default/files/B10154_0.png" alt="Book Name" height="256px" align="right"></a>

This is the code repository for [Intelligent Projects Using Python](https://www.packtpub.com/big-data-and-business-intelligence/intelligent-projects-using-python?utm_source=github&utm_medium=repository&utm_campaign=9781788996921), published by Packt.

**9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras**

## What is this book about?
This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.

This book covers the following exciting features: 
* Build an intelligent machine translation system using seq-2-seq neural translation machines
* Create AI applications using GAN and deploy smart mobile apps using TensorFlow
* Translate videos into text using CNN and RNN
* Implement smart AI Chatbots, and integrate and extend them in several domains
* Create smart reinforcement, learning-based applications using Q-Learning

If you feel this book is for you, get your [copy](https://www.amazon.com/dp/1788996925) today!

<a href="https://www.packtpub.com/?utm_source=github&utm_medium=banner&utm_campaign=GitHubBanner"><img src="https://raw.githubusercontent.com/PacktPublishing/GitHub/master/GitHub.png" 
alt="https://www.packtpub.com/" border="5" /></a>


## Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.

The code will look like the following:
```
def get_im_cv2(path,dim=224):
     img = cv2.imread(path)
     resized = cv2.resize(img, (dim,dim), cv2.INTER_LINEAR)
     return resized
```

**Following is what you need for this book:**
This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book.

With the following software and hardware list you can run all code files present in the book.

### Software and Hardware List

| Chapter  | Software required               | OS required       |
| -------- | --------------------------------| ------------------|
| 1 -10    | Python 3, Tensorflow 1.9.0      |  Windows, Linux   |
|          | Keras 2.2.4, Opencv 3.4.2       |                   |

 

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://www.packtpub.com/sites/default/files/downloads/9781788996921_ColorImages.pdf).

## Code in Action

Click on the following link to see the Code in Action:

[http://bit.ly/2Ru8rlU](http://bit.ly/2Ru8rlU)

### Related products <Other books you may enjoy>
* Artificial Intelligence By Example [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-example?utm_source=github&utm_medium=repository&utm_campaign=9781788990547) [[Amazon]](https://www.amazon.com/dp/1788990544)

* Artificial Intelligence for Big Data [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-big-data?utm_source=github&utm_medium=repository&utm_campaign=9781788472173) [[Amazon]](https://www.amazon.com/dp/1788472179)

## Get to Know the Author
**Santanu Pattanayak**
works as a Staff Machine Learning Specialist at Qualcomm Corp R&D and is an author of the deep learning book Pro Deep Learning with TensorFlow - A Mathematical Approach to Advanced Artificial Intelligence in Python. He has around 12 years of work experience and has worked at GE, Capgemini, and IBM before joining Qualcomm. He graduated with a degree in electrical engineering from Jadavpur University, Kolkata and is an avid math enthusiast. Santanu is currently pursuing a master's degree in data science from Indian Institute of Technology (IIT), Hyderabad. He also participates in Kaggle competitions in his spare time where he ranks in top 500. Currently, he resides in Bangalore with his wife.

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### Download a free PDF

 <i>If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.<br>Simply click on the link to claim your free PDF.</i>
<p align="center"> <a href="https://packt.link/free-ebook/9781788996921">https://packt.link/free-ebook/9781788996921 </a> </p>