Wattpad Downloader is App to download wattpad ebook to pdf, it works like a browser, download all categories including classics, general fiction, historical fiction, non-fiction, poetry, spiritual, teen fiction among others, create new beautiful pdf file with 1-click, the new PDF file can read in Windows,Mac without limitation, share your ebook with friends.

There is watermarks on pdf file in demo version, watermarks will remove in full version.

  1. Run Wattpad downloader, login and goto library page, open book you want, wait 1-2 minutes till Ready to download message show up.
  2. Click Download button to start, it will download ebook each chapter one by one, wait new pdf file created.
  3. There is watermarks on pdf file in demo version, watermarks will remove in full version.

How To Remove DRM from Kindle eBooks

Today, we’ll show you how to crack the encryption of these files, so you can enjoy them however you want. In other words, we’ll show you how to remove drm from Kindle book, include AZW, MOBI and PRC files. When you’re done, you’ll be able to read them on any system or device, convert those MOBI or PRC ebooks to PDF or any other format you’d like and you’ll – once again – own those books that you’ve payed for.

Downloading Kindle drm removal
What you need to do is to visit ebook-converter.com, download and install Kindle drm removal that is tools to remove drm from mobi ebook.

Run Kindle drm removal
select mobi file to decrypt, you navigate to the folder containing Kindle ebook files, it should be in folder “C:\Users\your-name\Documents\My Kindle Content” folder.

if this mobi file is copy from Kindle reader, then you should input PID of Kindle, you find it at “Home->Menu->Device Info->Serial Number”

Remove drm
click “Remove” button, it will create a new mobi file that can convert to other format using Calibre, you read it anywhere.

If all went well, you’ll now be the proud owner of another, unencrypted version of your ebook.


Deep Learning with Keras – pdf download


Deep Learning with Keras – Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games is book on oreilly.com,  get to grips with the basics of Keras to implement fast and efficient deep-learning models.

  • Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games
  • See how various deep-learning models and practical use-cases can be implemented using Keras
  • A practical, hands-on guide with real-world examples to give you a strong foundation in Keras

Oreilly Downloader is tools to download ebook on oreilly.com with 1-click. it download ebook to pdf file, read them on iPad, Kindle, tablet or other device without limitation, user also can print pdf ebook. It is very easy to use, just 1-click to download computer science book on oreilly.com

This is step by step guide to download Oreilly ebook

1). Download and install Oreilly Downloader, it run like a browser, user sign in safari online in webpage, find book “Deep Learning with Keras : Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games” to download and open it.

2). Find book to download, click “Reading” button to open book.

3). User open book in downloader, wait until “Download” button is ready, click download button to download ebook, it takes a while.

4). Downloader go through all book pages , it takes a while.

5). new PDF file created when finished, it saved in My document folder, “doc\ebook converter\safari online downloader\” .

About the Book

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer.

Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.

Who This Book Is For

If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.

What You Will Learn

  • Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm
  • Fine-tune a neural network to improve the quality of results
  • Use deep learning for image and audio processing
  • Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases
  • Identify problems for which Recurrent Neural Network (RNN) solutions are suitable
  • Explore the process required to implement Autoencoders
  • Evolve a deep neural network using reinforcement learning