본문 바로가기

hello, world!

검색하기
hello, world!
프로필사진 ferozsun

  • 분류 전체보기 (85)
    • BAEKJOON (29)
      • graphs (3)
      • greedy (4)
      • sorting (6)
      • data structures (7)
      • binary search (2)
      • implementation (1)
      • bruteforcing (2)
      • permutations & combinations (1)
      • math (2)
      • geometry (1)
    • Project & Study (4)
      • raspberryPi (2)
      • ADsP (2)
    • Book Review (4)
    • AI (16)
      • 모두를 위한 ML (SungKim) (16)
    • Programmers (32)
      • sql (24)
      • algorithm (8)
    • Interview (0)
      • 한화손해보험 (0)
Guestbook
Notice
Recent Posts
Recent Comments
Link
  • github
«   2025/05   »
일 월 화 수 목 금 토
1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30 31
Tags
  • Linear Regression
  • sort
  • 정렬
  • sung kim
  • 시간초과
  • Queue
  • 큐
  • 백준
  • Programmers
  • SQL
  • c++
  • softmax
  • stl
  • mysql
  • PIR
  • Machine learning
  • deep learning
  • ML
  • 프로그래머스
  • TensorFlow
  • deque
  • DFS
  • CSAP
  • 한화오션
  • join
  • 알고리즘 고득점 kit
  • Neural Network
  • 모두를 위한 머신러닝
  • BOJ
  • 모두를 위한 딥러닝
more
Archives
Today
Total
관리 메뉴
  • 글쓰기
  • 방명록
  • RSS
  • 관리

목록CNN (1)

hello, world!

[ML lab 11-2] MNIST 99% with CNN

[Simple CNN] import numpy as np import tensorflow as tf import random mnist = tf.keras.datasets.mnist (x_train, y_train), (x_test, y_test) = mnist.load_data() x_test = x_test / 255 x_train = x_train / 255 x_train = x_train.reshape(x_train.shape[0], 28, 28, 1) x_test = x_test.reshape(x_test.shape[0], 28, 28, 1) # one hot encode y data y_train = tf.keras.utils.to_categorical(y_train, 10) y_test = ..

AI/모두를 위한 ML (SungKim) 2021. 2. 24. 13:08
Prev 1 Next

Blog is powered by kakao / Designed by Tistory

티스토리툴바