This Deep Learning Techniques Laboratory course provides hands-on exposure to implementing, training, and evaluating deep neural network models using Python libraries such as TensorFlow and PyTorch. Students work with structured and unstructured datasets to develop skills in building MLPs, CNNs, RNNs, auto-encoders, and GANs, reinforcing concepts covered in the theory course.
- Teacher: Dr. MUTHAMIZH SELVAN A