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**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [X] Help wanted
- [] Other
**Description**
Hi @fangwei123456. First of all, congratulate you for the great work you have done with S…
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in line 57 of masked_huber_loss.lua, it says 1 is for impossible features.
it is actually 0 for impossible features.
So line 65 should actually be `(batch_size * feature_size) / self.mask_sum:su…
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Hi, minhnhat93. I tested your implementation of the LISTA. During the dictionary learning part, I find some bugs. The dictionary couldn't be learned when I tried to fix them. Could you please help me …
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Definitively the notion of optimizer is somewhat fuzzy and so is the class `Optimizer`.
We should attempt to clarify definitions we are going to use in the library.
**Definitions (to be added in a w…
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Hi there,
I'm trying to use your code, it seems quite nice.
The preprocessing works well, but when run RNN.py with DEBUG enabled, the program crashes with 'X' is not defined' errors.
It crashes her…
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Thank you for this package. I'm looking for some example on how to implement simple MLP (Multi Layer Perceptron) with this package. Any code snippets or tutorials are welcome.
Below is some code th…
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When I use my custom loss function, I got a wrong loss output if I choose keras.compile:
```
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data as mnist_data
…
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Hello, sorry to send this on the weekend; I am assuming you will look at it in the week if you want! I could use some guidance using the code. I have run run_syntheses.py,
which produced one batch of…
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# Deep learning is EXPENSIVE
e.g.
train ResNet50 with ImageNet dataset for 80 epochs
80 * 1.3M images * 7.7B ops per img
# Solution?
- **Data Parallelism (large batch training)**
![image](http…
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grad_w = -(y - y_pred).dot(X) + self.regularization.grad(self.w)
in regression.py
should it be grad_w = -(y - y_pred).dot(X) * (1/training_size) + self.regularization.grad(self.w) ?