Using Tf Gradienttape For Automatic Differentiation

# Using Tf.Gradienttape For Automatic Differentiation: A Comprehensive Guide Automatic differentiation is the backbone of modern deep learning. It allows us to efficiently compute gradients of complex functions, which are essential for training neural networks. TensorFlow's `tf.GradientTape` provides a powerful and flexible way to perform automatic differentiation, enabling custom training loops and fine-grained control over the gradient computation process. Are you ready to unlock the true pot