MNIST related models in Keras
Project description
Models
mnist-acgan
Auxiliary Classifier Generative Adversarial Network (ACGAN) for MNIST in Keras
Operations
train
Train the ACGAN
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)
- learning-rate
Learning rate (default is 0.0002)
References
mnist-cnn
Convolutional neural network (CNN) classifier for MNIST in Keras
Operations
train
Train the CNN
Flags
- batch-size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 12)
References
mnist-denoising-autoencoder
Denoising autoencoder for MNIST in Keras
Operations
train
Train the autoencoder
Flags
- batch-size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 30)
References
mnist-hierarchical-rnn
Hierarchical RNN (HRNN) classifier for MNIST in Keras
Operations
train
Train the HRNN
Flags
- batch-size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 5)
References
mnist-irnn
Implementation of ‘A Simple Way to Initialize Recurrent Networks of Rectified Linear Units’ with MNIST in Keras
Operations
train
Train the RNN
Flags
- batch-size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 200)
- learning-rate
Learning rate (default is 1e-06)
References
mnist-mlp
Multilayer perceptron (MLP) classifier for MNIST in Keras
Operations
train
Train the MLP
Flags
- batch-size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 20)
References
mnist-net2net
Implementation of ‘Net2Net: Accelerating Learning via Knowledge Transfer’ with MNIST in Keras
Operations
train
Train the network
Flags
- batch-size
Training batch size (default is 32)
- epochs
Number of epochs to train (default is 3)
References
mnist-siamese
Siamese MLP classifier for MNIST in Keras
Operations
train
Train the MLP
Flags
- batch-size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 20)
References
mnist-swwae
Stacked what-where autoencoder for MNIST in Keras
Operations
train
Train the MLP
Flags
- batch-size
Training batch size (default is 128)
- epochs
Number of epochs to train (default is 5)
- pool-size
kernel size used for the MaxPooling2D (default is 2)
References
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-0.3.1-py2.py3-none-any.whl.
File metadata
- Download URL: gpkg.keras.mnist-0.3.1-py2.py3-none-any.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d00c542a71a5e287370e7c55e12b3da311689e3e89bd7f85607c92afb9e2d06d |
|
| MD5 | 94d52e444853b94c6a008abb32ec4ba8 |
|
| BLAKE2b-256 | 4a53fa1dd245288413e6a0cea7af338bd575d9e9187bec22388e352bd59d58fb |
