"toynn" is a handy Neral Network model builder.
You'll be able to create a model in the desired structure with a single line of code. Easily train, predict and visualize your model.
"toynn" supports 'export' and 'import' of models in 'json' format.
Simple example for usage is like below.
import toynn
#build a model model = toynn.model.ANN(input_shape=(1, 784), shape = (100, 100, 100, 10), output="softmax", activation=("relu", "relu", "relu")) model.describe()
#train model.train(y= TRAIN_BATCH, t= ANSWER_BATCH, learning_rate=0.001, iteration=1000)
#predict model.predict(x = INPUT)
#export model as a 'json' file to a local directory model.export(directory = "C:\Users.......//", file_name="myModel.json")
#import model from a local directory factory = toynn.factory.factory() model2 = factory.make(directory = "C:\User.....\myModel.json")
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Updates on more types of model such as 'CNN', 'LSTM' is planned. Thanks, and please contact the author via e-mail for any comment.
Metadata
Release files for toynn 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| toynn-0.1.0.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| toynn-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.0 kB
Release files / toynn-0.1.0.tar.gz
| Download URL | toynn-0.1.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.0
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Release files / toynn-0.1.0-py3-none-any.whl
| Download URL | toynn-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7d71d50dfb833460dd4193c0e493a12648b291714e2e48300e67539ddbe1b2bd
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BLAKE2b-256 checksum How to use checksums |
2cfbb732d692879a2ae59ff3ebdc5f31ec7732d3030981e138a6b92402ad6467
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.0
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