Pre-orders are Now Open for Deep Learning on Windows

Pre-orders for my new book, Deep Learning on Windows, are Now Open at Amazon.com!

Deep Learning on Windows is my latest book, and it is the longest and the most comprehensive book I have written to date. The book is meant for both beginners and intermediates to deep learning. It covers topics from setting up your tools on Windows and getting started, to complex but fun topics in deep learning and computer vision.

The Cover of 'Deep Learning on Windows'

The Windows OS accounts for over 70% of the desktop PC usage. Windows provides many conveniences, with a wide variety of available productivity tools, causing it to gather a large userbase. This means that there is a large percentage of you - AI enthusiasts and developers - out there that primarily work on the Windows OS, and would prefer to develop deep learning models on Windows itself.

Major Update on My New Book: Deep Learning on Windows

If you recall, I originally intended to incrementally release my new book - Deep Learning on Windows – and have it completed around the June/July timeframe. Well, the month of July came and went, but no book got released. I also was not posting articles in the blog frequently for the past couple of months.

This was due to a major change in the plan for the book.

Deep Learning on Windows was picked up by a publisher!

The book will now be published under Apress, and it became a much larger offering than what I initially envisioned.

The new cover for the book is shown below:

New Cover for Deep Learning on Windows

On late-May, while I was working on the first drafts of the book on LeanPub, I was contacted by Apress on whether I would be interested in publishing the book under Apress banner. 

Book Update: First 3 Chapters are Now Released!

I'm excited to let you know that the first 3 Chapters of my new book - Deep Learning on Windows - is now released at LeanPub!

Deep Learning on Windows

This is currently the only book focusing specifically on setting up and developing Deep Learning models on Microsoft Windows. As I mentioned in my earlier post, most of the queries and questions I have received over the past year or so were related to building deep learning models on the Windows OS, and how-to setup and troubleshoot the tools on it. There were very little material out there addressing Windows specifically.

So, this book is my answer to that.

A total of 12 chapters are planned for the book, covering topics from setting up your tools on Windows, building your first models, to some advanced topics like transfer learning, deploying your models, computer vision, generative adversarial networks, and reinforcement learning.

The book will be released in an incremental manner. The first 3 chapters are now released.
Buying the book now guarantees that you will get all the remaining content, and all future updates and revisions for free as they get released.

The price of the book will increase over time as new chapters gets added, so purchasing early gives you the best value.

Get Your Copy Now!

My New Book is in the works: Deep Learning on Windows

Hope you all are staying safe!

With the lockdown and working from home from my job I've had a bit of free time these past few days. I've spent some of that time on going through the comments of the blog, and the questions and queries I have received from you readers through email and social media channels.

What I was trying to do was to identify any major areas you are struggling in, and try to come up with solutions to address those areas.

What I found was that, most of the queries were related to building deep learning models on the Windows OS, and how-to setup and troubleshoot the tools on it.

So, as a means of addressing this area, I've decided to start writing a new book, which will be named "Deep Learning on Windows".

"Working" Cover Page of the New Book (cover would change in the final version)

Materials and support for setting up deep learning frameworks and building models on Windows is a little bit scarce out there. This is mainly because native support for Windows in many of the popular tools were not there until recently.

This is why I decided to write a book specifically on getting deep learning development started on Windows.

Stay Safe During the COVID-19 Outbreak

Dear Readers of Codes of Interest,

Hope you, your family and loved ones are staying safe in these troubling times.

Being a globally impacting event, the COVID-19 pandemic has caused disruptions in many of our lives. Some more than others.

And, no doubt most of you have been forced to take a break from your daily routines and remain isolated from others.

SARS-CoV-2

While we all understand the importance of social distancing, the severity of the situation and the isolation is surely causing stress and uneasiness in all of us.

In order to attempt to provide a way to positively distract you from the stress, I have thought of giving away the kindle version of my book for free. Hopefully, this would allow you to have something to read and do while we wait for this pandemic to settle down.

The kindle eBook will be available via Amazon: https://www.amazon.com/dp/B07MY5Y643

It will be free until Monday, March 23, 2020, 11:59 PM PDT.

Stay safe during these troubling times

TensorFlow 2.0 Released!

After months in the Alpha state, Google has now released the final stable version of TensorFlow 2.0.

TensorFlow 2.0 aims at providing a easy to use yet flexible and powerful machine learning platform.

The new version also hopes to simplify deployment of TF models to any platform by standardizing the model formats. You will be able to run TensorFlow models on a variety of runtimes, such as using TensorFlow Serving - a flexible, high-performance serving system for machine learning models, designed for production environments -, on browser or through Node.js using TensorFlow.js, and on mobile through TensorFlow Lite.

Bird Watch: Our First Public Deep Learning Computer Vision Product

Codes of Interest is proud to present Bird Watch, a Deep Learning Computer Vision tool to identify bird species from images. It was built for wildlife photographers, bird and nature lovers, researchers, and academics alike.

Bird Watch is now in v0.3.0 Beta and is available for anyone to use free of charge at,

https://www.birdwatch.photo

Bird Watch in action

The system was built using transfer learning, with the InceptionV3 model. It uses Keras, TensorFlow, and OpenCV for its underlying features. The web frontend is built using Flask.

Build Deeper: What's in the Book

We're just 1 day away from the release of my new book Build Deeper: The Path to Deep Learning. So, let's see what I've covered in the book.

Build Deeper: The Path to Deep Learning

The new book is the successor to my earlier book - Build Deeper: Deep Learning Beginners' Guide - (which is why I called this the 'second edition), to which I've added a lot more topics this time. The new book is more than twice the length of the old book, and covers more breadth and depth in Deep Learning.

Here's what you can expect in the book:

Happy New Year, with a New Book

2019 is here! Happy New Year everyone!
May we see more exciting development in AI, Machine Learning, and Deep Learning this year.

With this new year, I'm excited to make a new announcement.
My new book "Build Deeper: The Path to Deep Learning" is now completed, and will be releasing very soon.

It's the successor for my earlier book "Build Deeper: Deep Learning Beginners' Guide", and covers everything from an introduction to deep learning, to building your own image recognition and computer vision models from scratch, and advanced topics such as transfer learning and fine-tuning your models, with sample code and step-by-step instructions for everything.

The book will be released within next 2 weeks. Stay tuned for more details.

Our YouTube Channel is Live!

We have a YouTube Channel now!

Check it out here

(https://www.youtube.com/channel/UCRM3zD8oOHP7Epw6XVZ01ew)

Don't forget to subscribe!

Fun and exciting Deep Learning experiments, Computer Vision, and Tech Tips too...

Codes of Interest becomes 1 Year Old!

It's been one year!

I began the Codes of Interest Blog a year ago with a simple thought - to share my enthusiasm of Machine Learning and Computer Vision with everyone.

It's been a fulfilling journey.

Now, after a year, Codes of Interest has become a thriving community of like-minded and engaging Machine Learning and Computer Vision enthusiasts. We've covered over 40 tutorials on Deep Learning on libraries like Keras, TensorFlow, and Theano, and playing around Computer Vision libraries such as OpenCV and Dlib.

The constant feedback and suggestions from you all has allowed me to launch the Codes of Interest Facebook Community.
And, I was able to release my first book on Deep Learning: Build Deeper: Deep Learning Beginners' Guide, which is now available on Amazon.

Build Deeper: Deep Learning Beginners' Guide

I'm getting more and more emails and comments daily. So much that I'm having trouble responding to all.

So, I'm taking this opportunity to thank all the readers and subscribers of Codes of Interest for your input and encouragement. I can assure you that more exciting content is coming.

Build Deeper: Deep Learning Beginners' Guide

I've been away from writing a post for about three weeks. That's because I've been preparing something exciting.

Today, I'm happy to announce the first book release from Codes of Interest - Build Deeper: Deep Learning Beginners' Guide.

Build Deeper: Deep Learning Beginners' Guide

Deep Learning has become a household name. It’s the bleeding edge in AI, and already achieving some phenomenal feats. Breakthroughs are happening daily, and the tech giants are not only pursuing it, they’re leading it.

Build Deeper: Deep Learning Beginners' Guide is the ultimate guide for anyone taking their first step into Deep Learning. Learn what Deep Learning is, and how it came to be. See what it's capable of, and its milestones. And get hands-on with building your first Deep Learning model.

All you need to get started is a bit of enthusiasm, and some basic programming skills.

Build Deeper: Deep Learning Beginners' Guide is now available from Amazon.

Get your copy now!

Codes of Interest Facebook Community is now Live!

We are on Facebook!

The Codes of Interest Page is now live on Facebook. I created the page so that our community can come together to share ideas, discuss about questions, quickly address issues you face with your Deep Learning / Machine Learning and Computer Vision experiments, and talk about what you would like to see from the Codes of Interest site.

Join Now

... and start discussing.

Build Deeper: The Path to Deep Learning

Learn the bleeding edge of AI in the most practical way: By getting hands-on with Python, TensorFlow, Keras, and OpenCV. Go a little deeper...

Get your copy now!

New Page - What is Deep Learning?

Deep Learning is the latest trend in Machine Learning. We hear about new innovations in Deep Learning every day, to a point that it has started to become a household name. Big companies such as Google, Apple, Amazon, Microsoft, IBM, and many others seems to be pushing for Deep Learning.

But, do you know what Deep Learning really is?

Since it's one of the most frequent questions that comes up, I created a new page "What is Deep Learning?" which talks about what Deep Learning is, how it relates to Machine Learning and Artificial Intelligence, and their history. Have a look at it from the below link,

What is Deep Learning?

Let me know what you think of Deep Learning.

Build Deeper: Deep Learning Beginners' Guide is the ultimate guide for anyone taking their first step into Deep Learning.

Get your copy now!