wanwanbeen / nn_basic

Some NN implementations for image classification and neural machine translation

nn_basic

This repository contains some basic NN implementations for image classification and neural machine translation.

1. Fully-connected neural network from scratch

Codes

• demo_fc_from_scratch.ipynb

Requirements

• Python 3
• NumPy

2. Image classification with a basic CNN

• demo_cnn_basic_cifar10.ipynb

Requirements

• Python 2.7
• PyTorch
• NumPy

3. Image classification with ResNet

• demo_cnn_resnet_cifar10.ipynb

Requirements

• Python 2.7
• PyTorch
• NumPy

4. Neural machine translation with seq2seq model

• demo_nmt_seq2seq.ipynb

Requirements

• Python 2.7
• PyTorch
• NumPy
• NLTK

5. CNN to classify large 3D regions

• demo_cnn_3d_classification.ipynb

Requirements

• Python 2.7
• Keras (TensorFlow backend)
• nibabel (interface to nifti files)
• scikit-learn