3D world/AI Integration Engineer 검색 결과

19 개의 검색 결과가 있습니다.

3D world/AI Integration Engineer

tutorials 05

File "O:\PycharmProjects\catdogtf2.2\venv\lib\site-packages\tensorflow\python\eager\execute.py", line 60, in quick_execute inputs, attrs, num_outputs) tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(512, 1000), b.shape=(1000, 16), m=512, n=16, k=1000 [[node sequential/dense/MatMul (defined at O:/PycharmProjects/catdogtf2.2/005.py:44) ]] [Op:__inference_t..

2020. 8. 11. 05:28

3D world/AI Integration Engineer

tutorials 04

tensorflow.python.framework.errors_impl.InternalError: 2 root error(s) found. (0) Internal: Blas GEMM launch failed : a.shape=(512, 16), b.shape=(16, 16), m=512, n=16, k=16 [[node sequential/dense/MatMul (defined at O:/PycharmProjects/catdogtf2.2/004.py:74) ]] (1) Internal: Blas GEMM launch failed : a.shape=(512, 16), b.shape=(16, 16), m=512, n=16, k=16 [[node sequential/dense/MatMul (defined at..

2020. 8. 11. 05:22

3D world/AI Integration Engineer

tutorials 03

import numpy as np import tensorflow as tf #!pip install -q tensorflow-hub #!pip install -q tfds-nightly import tensorflow_hub as hub import tensorflow_datasets as tfds print("버전: ", tf.__version__) print("즉시 실행 모드: ", tf.executing_eagerly()) print("허브 버전: ", hub.__version__) print("GPU", "사용 가능" if tf.config.experimental.list_physical_devices("GPU") else "NOT AVAILABLE") # 훈련 세트를 6대 4로 나눕니다. # ..

2020. 8. 11. 05:17

3D world/AI Integration Engineer

tutorials 02

tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(32, 784), b.shape=(784, 128), m=32, n=128, k=784 [[node sequential/dense/MatMul (defined at O:/PycharmProjects/catdogtf2.2/002.py:58) ]] [Op:__inference_train_function_542] Blas GEMM launch failed : pyCharm 껐다 켜면 됨. 무적의 옵앤온(off&on) O:\PycharmProjects\catdogtf2.2\venv\Scripts\python.exe O:\PyCharm\plugins\py..

2020. 8. 11. 05:08

3D world/AI Integration Engineer

tutorial 01 running on pyCharm 2020.2 & 3.7

import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D from tensorflow.keras.preprocessing.image import ImageDataGenerator import os import numpy as np import matplotlib.pyplot as plt import pydicom import glob os.environ['CUDA_VISIBLE_DEVICES'] = "0" tf.debugging.set_log_device_placement(True) try:..

2020. 8. 11. 04:58

3D world/AI Integration Engineer

Tensorflow, pytorch

PyTorch와 TensorFlow는 두 가지 주요 딥러닝 프레임워크로, 각각의 장단점이 다릅니다. 두 프레임워크는 주로 연구, 실무, 프로덕션 환경에서 널리 사용됩니다. 아래에서 PyTorch와 TensorFlow의 주요 장단점을 비교해드리겠습니다.PyTorch장점직관적이고 유연한 APIPythonic: PyTorch의 인터페이스는 Python의 문법과 매우 유사하여 직관적이고 쉽게 배울 수 있습니다.동적 계산 그래프: PyTorch는 실행 시점에 계산 그래프를 동적으로 생성하여, 디버깅과 모델 자유도가 높습니다.강력한 연구 및 프로토타이핑 도구빠른 실험: 동적 그래프 덕분에 연구자들이 빠르게 실험하고 새로운 아이디어를 테스트할 수 있습니다.디버깅 편의성: Python의 기본 디버깅 도구 (예: pdb..

2020. 8. 10. 18:53

3D world/AI Integration Engineer

cat vs dog old ver. &

#!/usr/bin/env python """A very simple cat vs dog classifier. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import sys import collections import os import datetime import numpy as np import PIL from PIL import Image import tensorflow as tf from tensorflow_core.tools.compatibility import tf_upgrade_v2 tf.debugging...

2020. 7. 1. 10:04

3D world/AI Integration Engineer

opencv 궁합 맞는 아이들

(base) O:\yolov3-keras-tf2>conda install -c conda-forge opencv Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: J:\Anaconda3 added / updated specs: - opencv The following packages will be downloaded: package | build ---------------------------|----------------- ca-certificates-2020.6.20 | hecda079_0 184 KB conda-forge ce..

2020. 7. 1. 10:01