Update README.md
Browse files
README.md
CHANGED
@@ -7,7 +7,7 @@ tags:
|
|
7 |
- lstm
|
8 |
---
|
9 |
|
10 |
-
This generative text model was trained using [Andrej Karpathy's code](https://github.com/karpathy/char-rnn) on homeworks by [Linguistics students'](https://ling.hse.ru/en/) homework assignments for a beginning Python course of HSE University.
|
11 |
|
12 |
Model was trained with size 512 and 3 layers, dropout 0.5.
|
13 |
|
@@ -28,7 +28,7 @@ Train corpus consists of joined programms in to one file inclded in this reposit
|
|
28 |
|
29 |
In an era of winning Transformers, ancient RNN models seem archaic. But I see that they still work better than modern architectures with such important categories from the humanities point of view as individual style.
|
30 |
|
31 |
-
This model was created just or fun of students at the end of the course.
|
32 |
|
33 |
## Samples
|
34 |
|
|
|
7 |
- lstm
|
8 |
---
|
9 |
|
10 |
+
This generative text model was trained using [Andrej Karpathy's code](https://github.com/karpathy/char-rnn) on homeworks by [Linguistics students'](https://ling.hse.ru/en/) homework assignments for a beginning Python course of HSE University in 2017.
|
11 |
|
12 |
Model was trained with size 512 and 3 layers, dropout 0.5.
|
13 |
|
|
|
28 |
|
29 |
In an era of winning Transformers, ancient RNN models seem archaic. But I see that they still work better than modern architectures with such important categories from the humanities point of view as individual style.
|
30 |
|
31 |
+
This model was created just or fun of students at the end of the course in 2017.
|
32 |
|
33 |
## Samples
|
34 |
|