query: Drawing a Neural Network architecture
positive_passages.docid: 17817
positive_passages.text: Diagram of an artificial neural network
negative_passages.docid: 13412
negative_passages.text: Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
negative_passages.docid: 68012
negative_passages.text: How to draw networks in Matlab?
negative_passages.docid: 126373
negative_passages.text: Can we use MLE to estimate Neural Network weights?
negative_passages.docid: 66728
negative_passages.text: What are good initial weights in a neural network?
negative_passages.docid: 31297
negative_passages.text: Why do we use ReLU in neural networks and how do we use it?
negative_passages.docid: 83377
negative_passages.text: Deep learning model (LSTM) with temporal and non temporal attributes
negative_passages.docid: 98554
negative_passages.text: Deep NNs, backpropagation and error calculation
negative_passages.docid: 142609
negative_passages.text: No regularisation term for bias unit in neural network
negative_passages.docid: 142667
negative_passages.text: Understanding how many biases are there in a neural network?
negative_passages.docid: 145791
negative_passages.text: What is batch size in neural network?
negative_passages.docid: 122194
negative_passages.text: How many parameters are in a gated recurrent unit (GRU) recurrent neural network (RNN) layer?
negative_passages.docid: 99025
negative_passages.text: Actual impact of W=0 in a neural network
negative_passages.docid: 145300
negative_passages.text: A list of cost functions used in neural networks, alongside applications
negative_passages.docid: 91448
negative_passages.text: Should I normalize all data prior feeding the neural network models?
negative_passages.docid: 98111
negative_passages.text: Sigmoid vs Relu function in Convnets
negative_passages.docid: 109966
negative_passages.text: How does the Adam method of stochastic gradient descent work?