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Machine Learning & Deep Learning

Core ML/DL concepts: supervised and unsupervised learning, neural networks (CNN, RNN/LSTM, GAN, Transformers), training techniques, model optimization, and real-world applications in software engineering and NLP.

Convolutional Neural Networks (CNN)

LeNet, AlexNet, VGGNet, ResNet, skip connections, transfer learning, and applications (image classification, object detection, computer vision).

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