Wow, the Kickstarter launch date of January 18th is approaching so fast!
![Sneak Preview: Deep Learning for Computer Vision with Python]()
The video is fairly short at only 2m51s, and it’s absolutely worth the watch, but if you don’t have enough time to watch it, you can read the gist below: 0m09s: I show the output of training AlexNet from scratch on the massive ImageNet dataset ― which I’ll be showing you exactly how to do inside my book. 0m37s: I discuss how this book has one goal: to help developers, researchers, and students just like yourself become experts in deep learning computer vision . 0m44s: Whether this is the first time you’ve worked with deep learning and neural networks or you’re already a seasoned deep learning practitioner , this book is engineered from the ground up to help you reach expert status. 0m58s: I provide a high level overview of the topics that will be covered inside my deep learning for computer vision book. 1m11s: I reveal the programming language (Python) and the libraries we’ll be using (Keras and mxnet) to build deep learning networks. 1m24s: Since we’ll be covering a massive amount of topics, I’ll be breaking the book down into volumes called “bundles” . You’ll be able to choose a bundle based on how in-depth you want to study deep learning, along with your particular budget. 1m38s: Each bundle will include the eBook files, video tutorials and walkthroughs, source code listings, access to the companion website, and a downloadable pre-configured Ubuntu VM. The Kickstarter campaign will be going live on Wednesday, January 18th at 10AM EST ― I hope to see you on the Kickstarter backer list.
I still have a ton of work to do and I’m neck-deep in Kickstarter logistics, but I took a few minutes earlier today and recorded this sneak preview of Deep Learning for Computer Vision with python just for you:
The video is fairly short at only 2m51s, and it’s absolutely worth the watch, but if you don’t have enough time to watch it, you can read the gist below: 0m09s: I show the output of training AlexNet from scratch on the massive ImageNet dataset ― which I’ll be showing you exactly how to do inside my book. 0m37s: I discuss how this book has one goal: to help developers, researchers, and students just like yourself become experts in deep learning computer vision . 0m44s: Whether this is the first time you’ve worked with deep learning and neural networks or you’re already a seasoned deep learning practitioner , this book is engineered from the ground up to help you reach expert status. 0m58s: I provide a high level overview of the topics that will be covered inside my deep learning for computer vision book. 1m11s: I reveal the programming language (Python) and the libraries we’ll be using (Keras and mxnet) to build deep learning networks. 1m24s: Since we’ll be covering a massive amount of topics, I’ll be breaking the book down into volumes called “bundles” . You’ll be able to choose a bundle based on how in-depth you want to study deep learning, along with your particular budget. 1m38s: Each bundle will include the eBook files, video tutorials and walkthroughs, source code listings, access to the companion website, and a downloadable pre-configured Ubuntu VM. The Kickstarter campaign will be going live on Wednesday, January 18th at 10AM EST ― I hope to see you on the Kickstarter backer list.
Like I said, if you have the time, the sneak preview is definitely worth the watch.
And I hope that you support the Deep Learning for Computer Vision with Python Kickstarter campaign on Wednesday, January 18th at 10AM EST ― if you’re serious about becoming a deep learning expert , then this book will be the perfect fit for you!
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