Keras callbacks are hooks you pass to fit/evaluate/predict to observe and control training. You get global, batch, and epoch methods, a logs dict with metrics, and full access to self.model (e.g., stop training, tweak optimizer LR, save checkpoints). The guide shows a full custom callback, early ... Read more
Hackernoon - Sep 10
This guide walks you through using mixed precision in Keras with TensorFlow to accelerate model training while reducing memory usage. By combining float16 or bfloat16 with float32 for key computations, you can achieve up to 3x faster performance on modern GPUs, TPUs, and Intel CPUs without sacrif... Read more
Hackernoon - Aug 12
This guide describes 3 easy ways to visualize Keras models. It explains the use of 3 specific tools: Netron, visualkeras, and TensorBoard. Tensorboard and visualkeras can be used to visualize untrained models. Read more
Hackernoon - Aug 10
