Session 13 — TensorFlow Input Pipeline + Performance Optimization - in Persian
A deeper look at how TensorFlow handles data efficiently using the `tf.data` API. This session walks through building a clean input pipeline, applying batching, shuffling, caching, and parallel mapping, and then optimizing the entire flow with AUTOTUNE and prefetching. You’ll see how each step reduces bottlenecks, improves throughput, and keeps the GPU fully utilized for faster, smoother training.