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Convolutional Neural Networks Programming

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Master CNN architecture design for image recognition and processing using Python and TensorFlow
  • Implement convolutional layers, pooling, and normalization techniques to enhance neural network performance
  • Apply data augmentation and preprocessing methods to improve CNN accuracy and robustness
  • Develop custom CNN models for real-world image classification and object detection tasks
  • Optimize CNN training with hyperparameter tuning, regularization, and transfer learning strategies
  • Evaluate CNN model performance using metrics like accuracy, precision, recall, and F1 score

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Lessons | 7


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Abhinandan Rai 

Noice
2025-03-24

ABHISHEK PRAJAPATI 

It was good
2025-03-24

Deepak Padhy 

GREAT EXPERIENCE.
2025-03-24

Ankit Pawar 

Very Nice video.
2025-03-24

Shridhar Sahu 

nice
2025-03-24

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A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data.