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What if you knew exactly how all the pieces of a deep learning system work together and had a solid understanding of the mathematics where it runs - in less time, without banging your head against the wall. Imagine how quickly you could work if you knew the best practices and the right tools? Stop wasting your time searching and have everything you need to be productive in one, well-organized place, with complete examples to get your project running intelligently without needing to resort to endless hours of research.
You will learn the right way to integrate deep learning with the latest tools with your current applications and even build some new ones along the way.
Stop wasting your time wrestling with incomplete and confusing tutorials
Data walk-through
Zero to Deep Learning starts out with a deep introduction into data manipulation. We aim to support both the season-professional and the complete beginner.
We explore sample datasets statistics, work with pivot tables, and visualizing data patterns.
Gentle introduction
Zero to Deep Learning is specifically crafted to make deep learning accessible to web developers of all experience levels.
Wide-ranging topics
Zero to Deep Learning covers a wide-ranging number of topics, from image recognition through text detection. It covers production-level model serving to make it easy to apply deep learning to web applications today.
Gradient Descent
Zero to Deep Learning gently introduces deep learning topics with introductory topics, such as Gradient Descent before diving too far deeply into the deep-end.
Convolutional Neural Networks
A course on Deep Learning would be incomplete without a course on convolutional neural networks, the quitessential example of the power of deep learning.
We work with powerful image recognition systems using convolutional neural networks, from the basics through the end-to-end system.