Teaching Computers to Learn•Interactive notebook lesson•Free
dog cat prediction
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🐶🐱 Dog vs Cat Prediction Notebook
Download an image and classify it using a trained VGG16 model.
Codepython
# !pip install tensorflow
Codepython
import urllib.request
import cv2
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import load_model
from tensorflow.keras.applications.vgg16 import preprocess_inputOutput
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1774115950.554664 12324 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
I0000 00:00:1774115950.585673 12324 cpu_feature_guard.cc:227] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1774115951.433409 12324 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
