{"id":54141,"date":"2025-05-30T13:44:34","date_gmt":"2025-05-30T13:44:34","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=54141"},"modified":"2025-09-25T16:22:02","modified_gmt":"2025-09-25T16:22:02","slug":"introduction-to-deep-learning","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/introduction-to-deep-learning\/","title":{"rendered":"Introduction to Deep Learning"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tIntroduction to <\/strong><\/strong>
Deep Learning<\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\tEveryone talks AI, but what is it exactly? This 3-day course will take you on a journey to demystify AI. You will learn the fundamentals of Deep Learning, how it works, how it differs from traditional Machine Learning, and how you can apply it to the most common AI applications: Computer Vision, Time-Series Forecasting and Natural Language Processing.

Developed by consultants with a proven track record of developing and deploying Deep Learning models at leading, data-driven enterprises, this training delivers the right mix of theory and hands-on practice.
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\n\t\t\n\tLooking to upskill your team(s) or organization?<\/h2>

\n\tBrijesh will gladly help you further with custom training solutions for your organization. <\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tBrijesh Kohli <\/strong>
Training Advisor<\/h2>\t\t

\n\t+1 (404) 988-3790<\/a>
<\/a>brijesh.kohli@xebia.com
<\/a>https:\/\/www.linkedin.com\/in\/brijesh-kohli\/<\/a><\/p>\t<\/div>\n\t\n\t\t\tGet in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tAfter the training, you will be able to:<\/p>\t

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\n\tBuild and train your own neural networks with TensorFlow\/Keras<\/p><\/div>\n\n\n\n

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\n\tUnderstand Recurrent Neural Networks: From simple RNNs to modern Transformers.<\/p><\/div>\n\n\n\n

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\n\tIntuitively understand the theory behind Deep Learning: What are neurons, how do neural networks learn, and what other components do I need?<\/p><\/div>\n\n\n\n

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\n\tApply best practices to ensure your model trains optimally like automatic data augmentations, memory-efficient training and optimized model architectures.<\/p><\/div>\n\n\n\n

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\n\tBuild Convolutional Neural Networks and apply them to images<\/p><\/div>\n\n\n\n

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\n\tUnderstand how you can use Transfer Learning to boost your model performance.<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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