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Your file produces Error:
RuntimeError: output with shape [1, 28, 28] doesn't match the broadcast shape [3, 28, 28]
It probably due to the gray-scale image downloaded automatically.
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/caffe/examples/mnist/mnist_autoencoder.prototxt has two data layers, each with source: "examples/mnist/mnist-train-leveldb". On my system, caffe will hang in a deadlock when creating the data layer.…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
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I use master branch of caffe from github (`git clone https://github.com/BVLC/caffe`) and NVIDIA GeForce GTX 460 on Ubuntu 14.04 LTS x64.
Some of the examples work and some not.
./examples/mnist/trai…
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Hello, I am a beginner. I am very interested in your code. But I have some problems, can you help me? I found that I can't run QGAN on my computer, the primary error occurs on the model(**model = kera…
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Checked examples are tested to be working with MXNet backend
Not supported examples have clear error message specifying the exact functionality MXNet does not support yet
- [x] addition_rnn.py
…
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--> #8
> https://github.com/keras-team/keras/tree/master/examples
# TO-DO
- [x] [mnist_cnn.py](https://github.com/junxnone/junxnone.github.io/issues/15#issuecomment-415662765)
- [x] [mnist_mlp.py…
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I'm having trouble running your code and am getting the following error.
Any thoughts of what might be wrong?
Thanks.
```
$python main.py
....
Extracting MNIST_data/train-images-idx3-ubyte.gz
…
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Hello initially I tried to run on resnet50 model, data parallelism was running quite good. But when I gave a try with the remaining models each model is giving each type of error. For example when I r…
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Update the readme to show how this project used autoencoder on the MNIST dataset and reconstructed the image.