自主課題
#chainer
##train_mnist.py
MNIST(手書き数字)データを深層学習で0~9に分類
package httputils | |
import ( | |
"fmt" | |
"io" | |
"net/http" | |
"time" | |
"github.com/go-chi/chi/middleware" | |
) |
import numpy as np | |
import tensorflow as tf | |
import time | |
class VAE_BP(object): | |
def __init__(self, in_dim=784, hidden_units=[512, 256], latent_dim=50, lr=0.001): | |
self.in_dim = in_dim | |
self.hidden_units = hidden_units | |
self.latent_dim = latent_dim | |
self.lr = tf.constant(lr, dtype=tf.float32) |
自主課題
#chainer
##train_mnist.py
MNIST(手書き数字)データを深層学習で0~9に分類