Choosing the right deep learning framework can shape your entire AI journey—and in this episode, we explore the big three: Keras, TensorFlow, and PyTorch. We’ll see how Keras shines for quick prototypes and learning, why TensorFlow dominates large-scale projects with powerful tools like TensorBoard, and how PyTorch wins researchers over with its flexibility and Pythonic feel. Along the way, we’ll compare their strengths in usability, scalability, and debugging, helping you decide which framework best fits your project’s needs and ambitions.