Description
Welcome to the “Learn 3D Image Classification with Python and Keras” course. On this complete and hands-on course, you’ll discover ways to construct a robust 3D convolutional neural community (CNN) for classifying CT scans. With using the Google Colab platform, Python, and Keras in TensorFlow, it is possible for you to to successfully analyse medical photographs and predict the presence of viral pneumonia in pc tomography (CT) scans.
Medical imaging performs an important function in illness analysis, and this course will present you with the mandatory abilities and methods to excel on this subject. It is possible for you to to sort out real-world challenges and achieve a powerful basis in 3D picture classification and deep studying. This is a superb alternative for healthcare professionals, information scientists, and anybody seeking to advance their AI abilities.
By the tip of this course, you’ll have a whole understanding of learn how to classify 3D photographs utilizing Python and Keras. You should have a portfolio challenge you could showcase to potential employers and be capable to confidently apply your abilities in knowledgeable setting. With its clear and concise method, this course is designed to maximise your studying potential within the shortest time doable.
Enroll now and take step one in direction of a satisfying profession in 3D picture classification and AI. Blissful Studying!
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