MNIST models in Keras (Guild AI)
Project description
gpkg.keras.mnist
MNIST models in Keras (Guild AI)
Models
acgan
Auxiliary Classifier Generative Adversarial Network (ACGAN) for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 100)
- beta_1
Beta 1 (default is 0.5)
- epochs
Number of epochs to train (default is 100)
- lr
Learning rate (default is 0.0002)
References
cnn
Convolutional neural network (CNN) classifier for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 12)
References
denoising-autoencoder
Denoising autoencoder for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 30)
References
hierarchical-rnn
Hierarchical RNN (HRNN) classifier for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 5)
References
irnn
Implementation of ‘A Simple Way to Initialize Recurrent Networks of Rectified Linear Units’ with MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 200)
- lr
Learning rate (default is 1.0e-06)
References
mlp
Multilayer perceptron (MLP) classifier for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 20)
References
net2net
Implementation of ‘Net2Net: Accelerating Learning via Knowledge Transfer’ with MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 3)
References
siamese
Siamese MLP classifier for MNIST in Keras
Operations
train
Train the model
Flags
- batch_size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 20)
References
_check
Operations
acgan
all
cnn
denoising-autoencoder
hierarchical-rnn
irnn
mlp
net2net
siamese
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file gpkg.keras.mnist-0.7.0.dev1-py2.py3-none-any.whl.
File metadata
- Download URL: gpkg.keras.mnist-0.7.0.dev1-py2.py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/2.7.15+
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ce48f75df15cbad258a09f64642f9fa344f389f7319b0e17b548bdeeb59f0df7 |
|
| MD5 | 7f5dbafa67eb3db5a84689958a63897e |
|
| BLAKE2b-256 | 047567b53c29ed013f526b4af86e7f1a606244435935e2a852bd6d31911ad62b |
