Network structure inspired by simplified models of biological neurons (brain cells).
When I run a keras script, I get the following output: Using TensorFlow backend. 2017-06-14 17:40:44.621761: W tensorflow/core/platform/…
python tensorflow neural-network kerasThe original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general …
python neural-network tensorflow conv-neural-networkI've been reading some things on neural networks and I understand the general principle of a single layer neural network. …
math machine-learning neural-network deep-learningI was wondering if it was possible to save a partly trained Keras model and continue the training after loading …
python tensorflow neural-network keras resuming-trainingIs there a rule of thumb (or set of examples) to determine when to use genetic algorithms as opposed to …
artificial-intelligence machine-learning neural-network genetic-algorithmDoes tensorflow have something similar to scikit learn's one hot encoder for processing categorical data? Would using a placeholder of …
python machine-learning neural-network tensorflowI found in many available neural network code implemented using TensorFlow that regularization terms are often implemented by manually adding …
python neural-network tensorflow deep-learningI am playing with a ANN which is part of Udacity DeepLearning course. I have an assignment which involves introducing …
machine-learning neural-network tensorflow deep-learning regularizedThe method zero_grad() needs to be called during training. But the documentation is not very helpful | zero_grad(self) | …
python neural-network deep-learning pytorch gradient-descentI can't give the correct number of parameters of AlexNet or VGG Net. For example, to calculate the number of …
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