Tag: deep-learning

Demystify deep learning: understand neural networks, how training works, key architectures, real-world applications, and common pitfalls to avoid.

Master TensorFlow fundamentals with hands-on examples, production patterns, and real-world applications for building ML models.

Learn to build neural networks that reason under uncertainty using Bayesian methods, MC Dropout, and deep ensembles. Practical PyTorch examples included.

Master image recognition in Python with TensorFlow, PyTorch, and OpenCV. Learn CNNs, transfer learning, and build real-world AI vision systems.

Master PyTorch fundamentals, build neural networks, and deploy production-ready models with this comprehensive guide featuring best practices and real examples.