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Results tagged with neural-networks
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user 196844
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Validate implementation of back-propagation algorithm
Let's say I implemented a CNN. Is there an easy way I can validate, that my implementation of back-propagation does not contain errors ?
May be I can feed some dummy values into my network so it can …
- 219
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MSE and different types of activation functions in NN
Lets say I have 3 neurons in the last layer of my neural network and I am using mean squared error as a loss function. The desired output of my neural network is a vector: [false,true,false]
If an ac …
- 219
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Cross Entopy Loss for classification
Suppose I have a neural network, which classifies pictures of cats, dogs and fishes. The neural network uses Softmax as an activation function of the output layer.
Let's say I feed a picture of dog a …
- 219
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Reinforcement Learning: A2C agent does not learn
I am trying to implement an A2C algorithm, but for some reasons, my agent does not learn very well.
I build a custom environment using Unity ML Agents. The environment is very simple: an agent can co …
- 219