Rashid Ul Haqrashid-ul-haq.hashnode.dev·Jul 6, 2024Gradients: The Building Blocks of Backpropagation in TensorFlowIn a neural network, backpropagation is essential for error minimization. It involves calculating the partial derivatives, or gradients, of the loss function with respect to trainable parameters. Manually computing and implementing these derivatives ...10 likesDeep Learning UnpluggedTensorFlowAdd a thoughtful commentNo comments yetBe the first to start the conversation.