Archive Downloader is tools to download books to pdf format ebooks, there is thousands free book on, some books can only be borrowed for 1 hour, these types of books do not have a download button as usual, Achive Downloader download these book in PDF format,’s bookreader is supported, pdf page is image page, page has good resolution for read and print, new PDF file can print or read in Windows,Mac without limitation, share your ebook with friends.

Archive Downloader is tools to download 14 day loan book or 1 hour loan book in, it is simple easy to use, just 1-click,
There is demo limitation in demo version, only 10 pages download in demo, all pages in full version.

  1. Install Achive Downloader and run it, copy book link from browser and paste in downloader address bar, login arhive account,
  2. Read book in downloader it, click Download button when it is ready,
  3. it will download pages one by one, if user stop it , it resume downloading from begin of book.
  4. it create pdf file in output folder when all pages downloaded.

Second Part: how to download the books from Archive in Digital Editions

you must understand that some book available at archive, you need to borrow it first, then you need to download the URLLINK.acsm that will be used by adobe digital edition, that’s why it is very important to be signed in, and there are 2 types of borrow: 1) borrow the book for 14 days and 2) Borrow the book for 1 hour

borrow the book for 14 days: What you need to do is go to the archive page of the book you want then click on borrow the book for 14 days, then press on download PDF/ePub… Then press on download the book, i highly recommend to download the book as pdf not epub cz the epub version is mostly corrupted and have missing parts… then a file called URLLINK.acsm get downloaded to your pc, mainly to your download folder, it is very small like few kb, you will need this file in the next steps


2_ Borrow the book for 1 hour: these types of borrow does not have a download link on archive page like the 14 days borrowing period do, SO you cannot download URLLINK.acsm the usual way, but there is a work around it in order to be able to download the URLLINK.acsm file which will help us download the pdf book

So first make sure you click on borrow this book for 1 hour (very important step)

Next step, there is create book download link for the URLLINK.acsm file of the book you want to download

example for this:
Archive link:
Identifier: pasta0000unse_m6m5
URLLINK.acsm download file link:

Now open the URLLINK.acsm link you got in your browser, anda file called URLLINK.acsm get downloaded to your pc, also mainly to your download folder, which you will need it in the next steps

You must have already clicked “Borrow for 1 hour” and have Adobe Digital Editions installed and set up
From the URL of the Archive book, copy the Identifier.
Example: For,
the Identifier is “legalfoundations0000comm”
Paste the Identifier into this next link by replacing the “XXXXXXXXXXXXX”

Now open the URLLINK.acsm link you got in your browser, anda file called URLLINK.acsm get downloaded to your pc, also mainly to your download folder, which you will need it in the next steps.

After the URLLINK.acsm is downloaded open it with adobe digital edition, and let it download the whole book you want as pdf file. the downloaded pdf file usually you can find it at C:/Users/your.pc.username/Documents/My Digital Edition as already stated the downloaded book is DRM protected so you need to remove the DRM protection. ePub DRM Removal will remove the DRM protection.

Strip drm from epub ebook

to read drm epub in Kindle, or read a public library ebook in ipad,  you can do that until you strip drm from epub ebook, this is tutorial to do that.

1. download ePub drm removal from, this tools has an easy-to-use interface to help new comers get up to speed.

2. Run ePub drm removal, select your epub file which you want to decrypt, click “Remove” button, a new epub file created withou drm protect.

3. Drag drop new epub to itune if you want to read in iPad.

4. Convert epub to Mobi format if you want to read it in Kindle reader.  another tutorial of mobi conversion click here

EPUB is a free and open e-book standard by the International Digital Publishing Forum (IDPF). Files have the extension .epub.

EPUB is designed for reflowable content, meaning that the text display can be optimized for the particular display device used by the reader of the EPUB-formatted book. The format is meant to function as a single format that publishers and conversion houses can use in-house, as well as for distribution and sale.

An EPUB file can optionally contain DRM as an additional layer, but it is not required by the specifications. In addition, the specification does not name any particular DRM system to use, so publishers can choose a DRM scheme to their liking. However, future versions of EPUB (specifically OCF) may specify a format for DRM.

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,  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 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

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