ayyucekizrak/Udemy_DerinOgrenmeyeGiris

Implements core deep learning architectures (CNNs, RNNs/LSTMs, GANs, Capsule Networks) with practical applications using TensorFlow/Keras in Python, ranging from image classification (MNIST, Fashion-MNIST) to object detection (YOLO), sentiment analysis (BERT), and generative tasks. Includes foundational topics like optimization algorithms, regularization techniques, transfer learning, and early stopping with comparative analyses of activation functions and optimizers. Designed for Google Colab cloud execution to enable GPU-accelerated training without local hardware requirements.

379 stars. No commits in the last 6 months.