Deep Learning for Python Developers

Deep Learning for Python Developers

Deep learning is a new  superpower which will let you build AI systems that just weren't  possible a few years ago. It's time to utilize intelligent automation to  help your business grow, keep organized, and stay on top of the  competition.

This course is for Python developers who haven't worked with machine  learning or data science, and want to build intelligent systems right  away—without taking a math degree! You will learn about recurrent neural  networks, Backprop, SGD, and more. You will work on code examples that  are used in a developer's life on a daily basis; you'll not only master  the theory, you'll also see how to applied it in the industry as a  whole. You will practice all these ideas in MxNet, TensorFlow, Keras,  and Gluon. Last but not the least, build Convolutional Neural Networks  and apply them to image data.

Deep Learning is currently enabling numerous exciting applications in  speech recognition, music synthesis, machine translation, natural  language understanding, and many others. AI is transforming multiple  industries. After finishing this course, you will likely find creative  ways to apply it to your work. We will help you master Deep Learning,  understand how to apply it, and build a career in AI.

About the Author

Will Ballard is the Chief  Technology Officer at GLG, responsible for engineering and IT. He was  also responsible for the design and operation of large data centers that  helped run site services for customers including Gannett, Hearst  Magazines, NFL, NPR, The Washington Post, and Whole Foods. He has also  held leadership roles in software development at NetSolve (now Cisco),  NetSpend, and Works (now Bank of America). 

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