mlpractical/local_experiment_scripts/emnist_arg_parsing_template.sh
2024-10-23 01:59:06 +08:00

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#!/bin/sh
cd ..
export DATASET_DIR="data/"
# Activate the relevant virtual environment:
python train_evaluate_emnist_classification_system.py --batch_size 100 --continue_from_epoch -1 --seed 0 \
--image_num_channels 1 --image_height 28 --image_width 28 \
--dim_reduction_type "strided" --num_layers 4 --num_filters 64 \
--num_epochs 100 --experiment_name 'emnist_test_exp' \
--use_gpu "True" --weight_decay_coefficient 0.