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**Description**
We want a model that has learned crisp and easily interpretable search algorithms. Such a model will solve mazes with high accuracy. However our ability to train such models is impa…
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In the train function, your code is a softplus function.
$$loss = ln(1 + e^x)$$
But in [The Forward-Forward Algorithm: Some Preliminary Investigations](https://www.cs.toronto.edu/~hinton/FFA13.pdf#:…
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I propose adding a Java implementation of the Monte Carlo Tree Search (MCTS) algorithm. MCTS is a heuristic search algorithm used for decision-making in problems such as games and complex optimization…
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https://arxiv.org/abs/1506.05254
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Hello, dear author, your code has helped me a lot, I am very grateful. I noticed comments in the code, such as "# calculate eq." 7 in updated SAC paper ", I want to know which paper you refer to imple…
gorkr updated
7 months ago
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int requestedAlgoCount = CUDNN_CONVOLUTION_FWD_ALGO_COUNT;
int returnedAlgoCount = -1;
cudnnConvolutionFwdAlgoPerf_t fwd_results[2 * requestedAlgoCount];
checkCUDNN(cudnnFindConvolutionForwardAlg…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Pakistani Vehicle Number Plate Detection
:red_circle: **Aim** : Create a DL model which will identify t…
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Hi all !
First thanks for your awesome package !
Otherwise, do you plan handling gradients in stochastic computation graph, *i.e.* graph with conditional probability distributions such as
```ju…
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https://arxiv.org/pdf/1607.03516.pdf
In this paper, we propose a novel unsupervised domain adaptation algorithm based on deep learning for visual object recognition. Specifically, we design a new m…
leo-p updated
7 years ago
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https://arxiv.org/pdf/1607.03516.pdf
In this paper, we propose a novel unsupervised domain adaptation algorithm based on deep learning for visual object recognition. Specifically, we design a new m…
leo-p updated
7 years ago