TensorBoard
TensorBoard is a visualization toolkit included with TensorFlow, designed to make it easier for developers and data scientists to understand, debug, and optimize the training of machine learning models. It provides a suite of web applications that allow users to view a model's metrics over time, examine parameter distributions, visualize the graph (models), and much more. By visualizing the model's training process, TensorBoard helps in identifying and solving problems quickly, making the model development cycle faster and more efficient. Key features include tracking and visualizing metrics such as loss and accuracy, viewing the model graph, displaying images, audio, and histograms of weights, biases, or other tensors as they change over time. TensorBoard serves as an essential tool for anyone working with TensorFlow, simplifying the process of understanding and optimizing models.