{"id":39858,"date":"2024-05-15T10:06:38","date_gmt":"2024-05-15T10:06:38","guid":{"rendered":"https:\/\/xebia.com\/academy\/nl\/training\/introduction-to-deep-learning-for-computer-vision\/"},"modified":"2025-01-07T15:03:02","modified_gmt":"2025-01-07T13:03:02","slug":"introduction-to-deep-learning-for-computer-vision","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/nl\/training\/introduction-to-deep-learning-for-computer-vision\/","title":{"rendered":"Introduction to Deep Learning for Computer Vision"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tIntroduction to <\/strong><\/strong>
Deep Learning<\/strong> for Computer Vision<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\t\t\t\t\t\tData and AI\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t
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\n\t\t\n\tLooking to upskill your team or organization?<\/h2>

\n\tRozaliia 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\tRozaliia Khafizova<\/strong>
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linkedin.com\/in\/rozaliya-k<\/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\tUnderstand Deep Learning from the ground up: What are neural networks, how do they learn, and how can I optimize them for my task?<\/p><\/div>\n\n\n\n

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\n\tComputer Vision Fundamentals: Understand the power of convolutions for automatic feature extraction and construct convolutional neural networks for image classification.<\/p><\/div>\n\n\n\n

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\n\tLearn today, apply tomorrow: Learn to build your own neural networks in Python using Tensorflow\/Keras.<\/p><\/div>\n\n\n\n

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\n\tLearn Best Practices: Ensure your model trains optimally by using data augmentations, memory-efficient training, fast data input pipelines, and optimized model architectures.<\/p><\/div>\n\n\n\n

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\n\tBuild upon others: Finetune existing models and understand 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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