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Thank you for sharing first. So in other words, it use only DNN to predict the next move other than AlphaGo, which used also the Monte Carlo Tree Search combined with DNNs.
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I am trying to write an RBM with CD1 learning. It does have an error function defined by `Sum(features - v1_reconstruction).^2)`. However, my goal is **_NOT**_ to adapt the weights so that the error f…
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As far as I can tell, `tf.train.exponential_decay` examples seem to use a 32-bit signed number for global_step, because the batch number is also a `tf.int32`. This means that long runs can result in …
jwise updated
8 years ago
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Only for reference for now
```
from deepchem.models.deep import SingleTaskDNN
import numpy.random
from operator import mul
model_params = {"activation": "relu",
"momentum": .9,
…
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Hi this existing dev2 pip build contains a number of bugs that have been fixed recently. Any chance of a new build??
Thanks
Iain
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We've decided to move tiny-cnn to an organization account to accelarate its development (discussed in #226).
Since it is clear that we are expanding the scope of tiny-cnn from convolutional networks …
nyanp updated
8 years ago
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First, let me thank you for sharing the model with community!
I am wondering whether there is a way to customize the model, namely to reduce the vocabulary. The model provided with already compiled d…
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To provide state-of-the-art performance for training and running DNNs and comparing benchmarks for the first time with other Deep Learning Frameworks, we will need GPU support.
A not exhaustive list…
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Hi Fabian @naibaf7 how to plug your convolutional layer into other frameworks? What format does it expect the tensor data to be in? Can I just send in a cl_mem object in a certain format? Presumabl…
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Hi,
I'm trying to train with dropout a DNN of 6 sigmoid-based hidden units for speech recognition purposes.
I'm using the following command:
`$cn_gpu configFile=${expdir}/Base.config configFile=${ex…