namakemono

import numpy as np
import keras
from sklearn.model_selection import train_test_split

"""
ベクトルx,yは与えられているとする．
y = A * x となる行列Aを求める．
- 行列とベクトルの積, <https://stackoverflow.com/questions/46570963/keras-lambda-layer-for-matrix-vector-multiplication>
"""

namakemono

"""Trains a LSTM with Word2Vec on the SNLI dataset.

https://nlp.stanford.edu/projects/snli/

Get to 80.12% test accuracy after 18 epochs. 
"""

import numpy as np
import pandas as pd
from gensim.models import KeyedVectors

namakemono

"""
Implementation of ESIM(Enhanced LSTM for Natural Language Inference)
https://arxiv.org/abs/1609.06038
"""
import numpy as np
from keras.layers import *
from keras.activations import softmax
from keras.models import Model

def StaticEmbedding(embedding_matrix):

namakemono

from keras.layers import *
from keras.activations import softmax
from keras.models import Model

"""

References
----------
[1]. Parikh, Ankur P., et al. "A decomposable attention model for natural language inference." arXiv preprint arXiv:1606.01933 (2016).

namakemono

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import requests
import pandas as pd
import datetime

"""
coincheckのPublic API用データ取得ツール

namakemono

# mnist_expert.py
import tensorflow as tf
import os
if not os.path.exists("input_data.py"):
    os.system("curl https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/examples/tutorials/mnist/input_data.py -o input_data.py")
import input_data

def conv2d(x, W):
    return tf.nn.conv2d(x, W, strides=[1,1,1,1], padding='SAME')