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Hi,
I was going to work on exercise 9 from Chapter 17 (denoising autoencoder), and wanted to try using the best classifier I had trained so far on MNIST digits which is an SE-ResNET, as a basis for…
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Based on the definition of denoising auto encoder, the hidden layer's dim should > input layer,
is this a bug in the 2nd cell at
https://github.com/PacktPublishing/Deep-Learning-with-TensorFlow-…
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Hi!
Is there a plan to include a slightly more high-level API for the R package to setup autoencoders?
I've noticed the python example in example/autoencoder but unfortunately there is no equivalent …
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Good Morning Everyone,
I am trying to run `python main.py --aae`
I get the following error:
```
Traceback (most recent call last):
File "main.py", line 104, in
model = AAE(**MNIST_AAE_H…
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**Installation**
https://medium.com/@vivek.yadav/deep-learning-setup-for-ubuntu-16-04-tensorflow-1-2-keras-opencv3-python3-cuda8-and-cudnn5-1-324438dd46f0
**Introduction to Statistics for Data S…
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Hi @alexgkendall
I want to Unsupervised Train SegNet with unlabeled data then fine-tune it with labeled data.
I want to remove the soft_max layer at the end of the network, and make the back-propag…
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Plot function doesn't work for ```receiver_rnn``` cause it returns n images where ```n == len(tokens)```
## Steps to Reproduce
1. run ```EGG walkthrough with a MNIST autoencoder``` untill cell…
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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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I run the following code in Jupyter Notebook on a MacBook Pro, with Mojave 10.14.5, and BlackMagicPro GPUs (Radeon RX Vega 56):
```
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_tr…