기계학습/이미지 머신러닝5 남자 여자 판독기 - CNN 모델 이번에는 남녀 판독기를 만들어보았다.정확도 부분에서 좀 아쉽다.왜 실제 이미지에서는 제대로 힘을 발휘하지 못하는지.. 아쉽다 123456789101112131415161718192021222324# 데이터를 담을 list 선언 train_data = [] # trainning data set 을 만드는 함수 정의import cv2 import numpy as np def make_train_set(sex, root, file_type, num_img): for idx in range(1, num_img): if idx 2020. 2. 25. MNIST 실습 - GAN 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114import numpy as npimport tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("./mnist/data/", one_hot=True).. 2020. 2. 11. MNIST 실습 - CNN 모델 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899import tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("./mnist/data/", one_hot=True) from tensorflow.keras.models import Modelfrom tensorflow.keras.. 2020. 2. 10. MNIST - 일반 딥러닝 모델 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394import tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("./mnist/data/", one_hot=True) # 데이터 모음input_data_train = mnist.train.imagesoutput_data_train = mnist.t.. 2020. 2. 9. MNIST - 기본 1 layer 머신러닝 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556import tensorflow as tfimport randomfrom tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("tmp/data/", one_hot=True) tf.set_random_seed(777) x=tf.placeholder(tf.float32, [None, 784])y=tf.placeholder(tf.float32, [None, 10]) w=tf.Variable(tf.random_normal([7.. 2020. 2. 8. 이전 1 다음
