Input Top‑1 Top‑5 Size Stem References
VGG16 224 71.268 90.050 138.4M 14.7M paper
VGG19 224 71.256 89.988 143.7M 20.0M paper
ResNet50 224 74.928 92.060 25.6M 23.6M paper ... <看更多>
Search
Search
Input Top‑1 Top‑5 Size Stem References
VGG16 224 71.268 90.050 138.4M 14.7M paper
VGG19 224 71.256 89.988 143.7M 20.0M paper
ResNet50 224 74.928 92.060 25.6M 23.6M paper ... <看更多>
If it is tensorflow then i suggest using import tensorflow as tf \ from tensorflow.keras.applications.vgg16 import VGG . ... <看更多>
Automatically get a list of all available pre-trained models from Keras by listing all the functions inside tf.keras.applications . Since each model is ... ... <看更多>
You can pass any model from Keras Applications (using Tensorflow 2.0), along with the regularizer you want, and it returns the model ... ... <看更多>
... <看更多>
... in the Keras Documentation article Getting started with the Keras Sequential ... The reason for its popularity in time-series application is that there ... ... <看更多>
... application forms CNNs require lesser pre-processing as compared to other similar classification algorithms. Keras is an excellent framework to learn ... ... <看更多>