Difference between revisions of "RNNs with Darknet"
Jump to navigation
Jump to search
| (12 intermediate revisions by the same user not shown) | |||
| Line 3: | Line 3: | ||
*[[Darknet Installation]] | *[[Darknet Installation]] | ||
| − | == | + | == Producing text with a pre-trained model == |
| − | * | + | *Download some pre-trained models or calculated weights from several writers: |
wget https://pjreddie.com/media/files/shakespeare.weights | wget https://pjreddie.com/media/files/shakespeare.weights | ||
wget https://pjreddie.com/media/files/kant.weights | wget https://pjreddie.com/media/files/kant.weights | ||
wget https://pjreddie.com/media/files/tolstoy.weights | wget https://pjreddie.com/media/files/tolstoy.weights | ||
| − | *Generating | + | *Example: Generating a text based on the pre-trained model with books written by Shakespeare with Darknet: |
| + | *The machine learning framework ''Darknet'', is installed in the black PCs of the Interaction Station. We will use the operating system Ubuntu (Linux): | ||
| + | *Login & password: interactionstation | ||
| + | *We first need to open the terminal | ||
| + | *Then we need to go to the darknet directory. Try typing: | ||
cd darknet | cd darknet | ||
| + | *and press the Enter key. | ||
| + | In some computers is installed in another directory and you need to type: | ||
| + | cd /media/Machine_Learning/darknet | ||
| + | *Then we are going to type: | ||
./darknet rnn generate cfg/rnn.cfg shakespeare.weights -srand 0 | ./darknet rnn generate cfg/rnn.cfg shakespeare.weights -srand 0 | ||
*Parameters: | *Parameters: | ||
| − | + | *-srand N -> N determines the random seed. | |
| + | *To be able to generate new texts, instead of 0 use another number. | ||
| + | *-len N -> change the length of text generated, default 1,000 | ||
| + | *-seed Word -> It sets the first word of the generated text | ||
| + | == Train the RNNs with another corpus of text == | ||
| − | * | + | *Download a text file. Here you can find some corpus of text online: |
| − | |||
| − | |||
| − | |||
George Meredith | George Meredith | ||
http://www.gutenberg.org/ebooks/4500 | http://www.gutenberg.org/ebooks/4500 | ||
| Line 29: | Line 38: | ||
http://www.gutenberg.org/ebooks/search/?query=The+Complete+Works+of | http://www.gutenberg.org/ebooks/search/?query=The+Complete+Works+of | ||
| + | *We train the neural network with the new text (This might take a while): | ||
| + | ./darknet rnn train cfg/rnn.train.cfg -file filename.txt | ||
| + | |||
| + | *Generating new text with our new model | ||
| + | ./darknet rnn generate cfg/rnn.cfg filename.weights -srand 0 | ||
| + | |||
| + | *Parameters: | ||
| + | *-srand N -> N determines the random seed. | ||
| + | *To be able to generate new texts, instead of 0 use another number. | ||
| + | *-len N -> change the length of text generated, default 1,000 | ||
| + | *-seed Word -> It sets the first word of the generated text | ||
| + | |||
| + | *Optional: We can modify file cfg/rnn.train.cfg file (batch = 50 is the value we set by default, the original value was 256) | ||
| − | * | + | ==More information == |
| + | *RNNs with Darknet: | ||
*https://pjreddie.com/darknet/rnns-in-darknet/ | *https://pjreddie.com/darknet/rnns-in-darknet/ | ||
| + | *Terminal basic tutorial: | ||
| + | *https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners | ||
| + | *Recurrent Neural Networks: | ||
| + | *https://skymind.ai/wiki/lstm | ||
Revision as of 21:24, 15 April 2019
Installing Darknet
- We need to install our modified version of Darknet:
- Darknet Installation
Producing text with a pre-trained model
- Download some pre-trained models or calculated weights from several writers:
wget https://pjreddie.com/media/files/shakespeare.weights wget https://pjreddie.com/media/files/kant.weights wget https://pjreddie.com/media/files/tolstoy.weights
- Example: Generating a text based on the pre-trained model with books written by Shakespeare with Darknet:
- The machine learning framework Darknet, is installed in the black PCs of the Interaction Station. We will use the operating system Ubuntu (Linux):
- Login & password: interactionstation
- We first need to open the terminal
- Then we need to go to the darknet directory. Try typing:
cd darknet
- and press the Enter key.
In some computers is installed in another directory and you need to type:
cd /media/Machine_Learning/darknet
- Then we are going to type:
./darknet rnn generate cfg/rnn.cfg shakespeare.weights -srand 0
- Parameters:
- -srand N -> N determines the random seed.
- To be able to generate new texts, instead of 0 use another number.
- -len N -> change the length of text generated, default 1,000
- -seed Word -> It sets the first word of the generated text
Train the RNNs with another corpus of text
- Download a text file. Here you can find some corpus of text online:
George Meredith http://www.gutenberg.org/ebooks/4500 Mark Twain http://www.gutenberg.org/ebooks/3200 More http://www.gutenberg.org/ebooks/search/?query=The+Complete+Works+of
- We train the neural network with the new text (This might take a while):
./darknet rnn train cfg/rnn.train.cfg -file filename.txt
- Generating new text with our new model
./darknet rnn generate cfg/rnn.cfg filename.weights -srand 0
- Parameters:
- -srand N -> N determines the random seed.
- To be able to generate new texts, instead of 0 use another number.
- -len N -> change the length of text generated, default 1,000
- -seed Word -> It sets the first word of the generated text
- Optional: We can modify file cfg/rnn.train.cfg file (batch = 50 is the value we set by default, the original value was 256)
More information
- RNNs with Darknet:
- https://pjreddie.com/darknet/rnns-in-darknet/
- Terminal basic tutorial:
- https://maker.pro/linux/tutorial/basic-linux-commands-for-beginners
- Recurrent Neural Networks:
- https://skymind.ai/wiki/lstm