Executive Development Programme in Convolutional Neural Network Training
-- ViewingNowThe Executive Development Programme in Convolutional Neural Network (CNN) Training is a certificate course designed to provide professionals with a comprehensive understanding of CNNs, a specialized class of deep learning models. This program highlights the importance of CNNs in solving complex problems in image and video processing, pattern recognition, and autonomous systems.
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⢠Introduction to Convolutional Neural Networks (CNNs): Understanding the fundamental concepts and architecture of CNNs, including convolutional layers, pooling layers, and fully connected layers.
⢠Designing CNNs for Computer Vision Tasks: Exploring various CNN architectures for different computer vision tasks like image classification, object detection, and semantic segmentation.
⢠Data Preparation for CNN Training: Learning best practices for data preprocessing, augmentation, and normalization to improve CNN accuracy and convergence.
⢠Training CNNs with Backpropagation: Delving into the backpropagation algorithm, optimization techniques, and regularization methods to prevent overfitting and improve CNN generalization.
⢠Transfer Learning and CNNs: Utilizing pre-trained networks, fine-tuning, and feature extraction for faster CNN deployment and higher accuracy.
⢠Evaluating CNN Performance: Measuring CNN performance using metrics like accuracy, precision, recall, F1 score, and ROC curves.
⢠Real-World Applications of CNNs: Examining practical use cases in industries like healthcare, finance, retail, and manufacturing.
⢠Ethics and Bias in CNNs: Discussing potential ethical concerns and biases in CNN models, including fairness, privacy, and interpretability.
⢠Emerging Trends in CNN Research: Investigating cutting-edge techniques, such as capsule networks, attention mechanisms, and generative adversarial networks (GANs).
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