Neural Network Programming - Deep Learning with PyTorch

Neural Network Programming - Deep Learning with PyTorch

Dive into neural network programming and deep learning with PyTorch in this comprehensive 9-hour course. Begin with PyTorch and CUDA basics, understanding GPU usage in neural networks. Progress through tensor fundamentals crucial for deep learning comprehension before exploring neural network architecture. Learn to train networks, analyze results, tune hyperparameters, and utilize TensorBoard for visual analytics. Cover topics such as tensor operations, CNN architecture, image preparation, datasets and DataLoaders, forward propagation, batch processing, and confusion matrices. Explore advanced concepts like hyperparameter tuning, GPU acceleration, dataset normalization, and batch normalization. Gain hands-on experience with code examples, debugging sessions, and practical projects throughout the course.