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transfer learning in python with custom dataset

Noor Ali Ikhwan answered on April 20, 2022 Popularity 3/10 Helpfulness 1/10

answer transfer learning in python with custom dataset

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transfer learning in python with custom dataset

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model = tf.keras.applications.MobileNet(
    input_shape=None,
    alpha=1.0,
    depth_multiplier=1,
    dropout=0.001,
    include_top=True,
    weights="imagenet",
    input_tensor=None,
    pooling=None,
    classes=1000,
    classifier_activation="softmax",
)

Popularity 3/10 Helpfulness 1/10 Language python

Source: neptune.ai

Tags: custom-dataset python transfer-learning

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Contributed on Apr 20 2022

Noor Ali Ikhwan

0 Answers Avg Quality 2/10

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transfer learning in python with custom dataset

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import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
training_set = image_dataset_from_directory(train_dir,
                                             shuffle=True,
                                             batch_size=32,
                                             image_size=(150, 150))
val_dataset = image_dataset_from_directory(validation_dir,
                                                  shuffle=True,
                                                  batch_size=32,
                                                  image_size=(150, 150))

Popularity 3/10 Helpfulness 1/10 Language python

Source: neptune.ai

Tags: python transfer-learning custom-dataset

Link to this answer
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Contributed on Apr 20 2022

Noor Ali Ikhwan

0 Answers Avg Quality 2/10

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transfer learning in python with custom dataset

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