Advanced Computer Vision with TensorFlow

Resumen

Embark on a transformative journey with the "Advanced Computer Vision with TensorFlow" course, available on Coursera and crafted by DeepLearning.AI. This comprehensive specialization is designed for early to mid-career software and machine learning engineers who have a foundational grasp of TensorFlow and are eager to broaden their expertise with its advanced features.

Dive deep into the realms of:

• Image Classification and Segmentation:

  Master these core areas to enhance your understanding and application of computer vision.

• Object Localization and Detection:

  Learn to pinpoint and identify objects within images, utilizing cutting-edge object detection models like regional-CNN and ResNet-50. This module includes hands-on experience in applying transfer learning for improved localization and detection outcomes.

• Custom and Pre-built Models:

  Gain the skills to not only customize existing models but also to develop your own for distinctive tasks, such as detecting, localizing, and labeling rubber duck images.

• Image Segmentation Techniques:

  Implement various forms of the fully convolutional network (FCN), including U-Net and Mask-RCNN, for precise segmentation tasks across diverse subjects like numbers, pets, and zombies.

• Machine Learning Interpretation Methods:

  Understand crucial aspects of your model's decision-making process with class activation maps and saliency maps.

  Apply these insights to inspect and refine the design of celebrated networks like AlexNet.

This specialization not only deepens your technical knowledge in advanced TensorFlow features but also equips you with the practical know-how to tackle complex machine learning challenges. Whether you're looking to advance in your career or simply passionate about computer vision, this course provides vital skills in image classification, segmentation, object detection, and beyond.

Keywords:

TensorFlow, Computer Vision, Object Detection, Image Segmentation, Machine Learning, Transfer Learning, DeepLearning.AI, Coursera.

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Impartido por

Laurence Moroney

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Materias