-
Hello, I made the code work for myself using Tensorflow v 1.4 and Python 2.
Maybe it works for you too.
**board.py (complete file):**
```
# Import MNIST data
import input_data
mnist = inpu…
-
Hi,
Ths `sgd` optimizer in burn implements stochastic gradient descent with momentum. Specifically, is it BGD (Batch Gradient Descent) ,SGD (Stochastic Gradient Descent) or MBGD (Mini-Batch Gradient …
-
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…
-
-
I'm sure the irony of there being many, unique issues opened with different "not a unique prefix" problems hasn't escaped you. Here's another:
```
"""Run a training job on Cloud ML Engine for a gi…
-
# 🐛 Bug
I'd like to use natural gradient descent together with the orthogonally decoupled variational strategy, so I ran the [NGD example notebook](https://github.com/cornellius-gp/gpytorch/blob/ma…
-
I wanted to train Mask RCNN on google Colab on GPU. And this Error/Warning comes in. The same code runs on CPU without any issues. Tensorflow 2.2.0. Keras 2.8.0. Does it have influence on training per…
-
# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
-
Hello Wengong !
Thanks for the great work !
I am currently trying to train the VAE on ChemBL, however, after about 300 gradient descent steps, I encounter the following error :
```
Traceback…
-