Deep learning is a subset of machine learning that relies on deep neural networks. It is how computers identify objects in images, translate speech in real-time, generate artwork and music, and perform other tasks that would have been impossible just a few short years ago. Learn what neural networks are, how they work, and how to build them using popular deep-learning libraries such as Keras and TensorFlow. More importantly, learn how to bring the magic of neural networks to the next software project that you work on, and come away with numerous code samples to get those projects started.
Jeff Prosise is a co-founder of Wintellect who makes his living writing software and helping others do the same. He has written nine books and hundreds of magazine articles, trained thousands of developers at Microsoft, and spoken at some of the world’s largest software conferences. Jeff’s passion is teaching software developers how to build cloud-based apps with Microsoft Azure and introducing them to the wonders of AI and Machine Learning. In his spare time, Jeff builds and flies large radio-control jets and travels to development shops, universities, and research institutions around the world educating them about Azure and AI.