https://github.com/camara94/convolutional-neural-networks-tensorflow

In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.
https://github.com/camara94/convolutional-neural-networks-tensorflow

computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks tensorflow

Last synced: about 2 months ago
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In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

• Host: GitHub
• URL: https://github.com/camara94/convolutional-neural-networks-tensorflow
• Owner: camara94
• License: mit
• Created: 2022-03-18T19:39:43.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-01T00:04:31.000Z (over 2 years ago)
• Last Synced: 2023-03-03T06:28:02.534Z (almost 2 years ago)
• Topics: computer-vision, convolutional-neural-networks, data-science, deep-learning, deep-neural-networks, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 32.2 MB
• Stars: 5
• Watchers: 2
• Forks: 3
• Open Issues: 0

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