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@ -104,7 +104,9 @@ |
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"source": [ |
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"# Get the number of elements in the training and validation dataset\n", |
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"train_size = tf.data.experimental.cardinality(train_dataset).numpy()\n", |
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"valid_size = tf.data.experimental.cardinality(valid_dataset).numpy()" |
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"valid_size = tf.data.experimental.cardinality(valid_dataset).numpy()\n", |
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"print(\"Training dataset size:\", train_size)\n", |
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"print(\"Validation dataset size:\", valid_size)" |
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] |
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}, |
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{ |
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@ -139,24 +141,10 @@ |
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"valid_dataset = valid_dataset.map(preprocess)\n", |
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"\n", |
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"# Batch and shuffle the datasets\n", |
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"train_dataset = train_dataset.shuffle(2000).batch(80)\n", |
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"train_dataset = train_dataset.shuffle(1000).batch(80)\n", |
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"valid_dataset = valid_dataset.batch(20)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "9399bc99", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Get the number of elements in the trainingand validation dataset\n", |
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"train_size = tf.data.experimental.cardinality(train_dataset).numpy()\n", |
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"valid_size = tf.data.experimental.cardinality(valid_dataset).numpy()\n", |
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"print(\"Training dataset size:\", train_size)\n", |
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"print(\"Validation dataset size:\", valid_size)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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@ -171,13 +159,21 @@ |
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" \n", |
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"print(x_val.shape, y_val.shape)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "67e152ff-0713-4629-8471-1afbb1bf22a6", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"display_name": "Python [conda env:ML]", |
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"language": "python", |
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"name": "python3" |
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"name": "conda-env-ML-py" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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@ -189,7 +185,7 @@ |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.8.16" |
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"version": "3.10.9" |
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} |
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}, |
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"nbformat": 4, |
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