Backpropagation is a method of the gradient computation, often used in artificial neural networks to perform gradient descent.
I'm trying to implement gradient calculation for neural networks using backpropagation. I cannot get it to work with cross entropy …
matlab machine-learning neural-network backpropagationI would like to implement in TensorFlow the technique of "Guided back-propagation" introduced in this Paper and which is described …
tensorflow backpropagationCurrently I'm learning about neural networks and I'm trying to create an application that can be trained to recognize handwritten …
artificial-intelligence neural-network ocr backpropagation feed-forwardI am trying to write a program for weather forecasting using backpropagation. I am a beginner in this field. I …
neural-network prediction backpropagationI'm training a XOR neural network via back-propagation using stochastic gradient descent. The weights of the neural network are initialized …
neural-network backpropagationI have seen straight through estimator (STE) in many Neural Network related papers e.g. this and this. But I …
neural-network backpropagationI've been following an online tutorial on deep learning. It has a practical question on gradient descent and cost calculations …
neural-network deep-learning backpropagation gradient-descent propagationCould someone give a clear explanation of backpropagation for LSTM RNNs? This is the type structure I am working with. …
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