Beginning Application Development with TensorFlow and Keras | Data Science Online Course by Udemy

Development Online Course by Udemy, On Sale Here

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

An excellent training about Data Science

Beginning Application Development with TensorFlow and Keras

With this course, you’ll learn how to train, evaluate, and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction to neural networks and deep learning, you’ll use a sample model to explore details of deep learning and learn to select the right layers that can solve a given problem. By the end of the course, you’ll build a Bitcoin application that predicts the future price, based on historic and freely available information. About the AuthorLuis Capelo is a Harvard-trained analyst and programmer who specializes in the design and development of data science products. He is based in the great New York City, the USA. He is the head of the Data Products team at Forbes, where they both investigate new techniques for optimizing article performance and create clever bots that help them distribute their content. Previously, he led a team of world-class scientists at the Flowminder Foundation, developing models for assisting the humanitarian community. Prior to that, he worked for the United Nations as part of the Humanitarian Data Exchange team (founders of the Center for Humanitarian Data). He is a native of Havana, Cuba, and the founder and owner of a small consultancy firm dedicated to supporting the nascent Cuban private sectorNimish Narang has a degree in biology and computer science. He has worked with application development and machine learning. His recent achievement was building the biggest ever mobile machine learning course which has many different machine learning and deep learning models in Python and translated into both Android and iOS applications to incorporate some elements of machine learning into mobile application.

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