Write predict code using concat_examples
This tutorial corresponds to 03_custom_dataset_mlp folder in the source code. We have trained the model with own dataset, MyDataset, in...
Category: Chainer
Training code for MyDataset
This tutorial corresponds to 03_custom_dataset_mlp folder in the source code. We have prepared your own dataset, MyDataset, in previous...
Create dataset class from your own data with DatasetMixin
This tutorial corresponds to 03_custom_dataset_mlp folder in the source code. In previous chapter we have learned how to train deep neural network using MNIST h...
Predict code for simple sequence dataset
Predict code is easy, implemented in predict_simple_sequence.py. First, construct the model and load the trained model parameters, Then we only specify the...
Chainer v2 released: difference from v1
Chainer version 2 has been released on 2017 June 1, #Chainer v2.0.0 has been released! Memory reduction (33% in ResNet), API clean up, and CuPy ...
Training RNN with simple sequence dataset
We have learned in previous post that RNN is expected to have an ability to remember the sequence information. Let’s do a easy experiment to check it before try...
Recurrent Neural Network (RNN) introduction
[Update 2017.06.11] Add chainer v2 code How can we deal with the sequential data in deep neural network? This formulation is especially important in natura...
CIFAR-10, CIFAR-100 inference code
The code structure of inference/predict stage is quite similar to MNIST inference code, please read this for precise explanation. Here, I will simply put t...
CIFAR-10, CIFAR-100 training with Convolutional Neural Network
[Update 2017.06.11] Add chainer v2 code Writing your CNN model This is example of small Convolutional Neural Network definition, CNNSmall I also made a slightly...
CIFAR-10, CIFAR-100 dataset introduction
Source code is uploaded on github. CIFAR-10 and CIFAR-100 are the small image datasets with its classification labeled. It is widely used for easy image cl...