HAMIM-ML
model evaluation added
9bd2271
raw
history blame
454 Bytes
# Data Parameters
BATCH_SIZE: 1
IMAGE_SIZE: [224, 224, 1]
DATA_RANGE: 3000
# Convolutional Layer Parameters
KERNEL_SIZE_RES: 3
PADDING: 1
STRIDE: 1
BIAS: False
# UpSampling Parameters
SCALE_FACTOR: 2
DIM: 1
# Dropout Parameters
DROPOUT_RATE: 0.3
# Generator Parameters
KERNEL_SIZE_GENERATOR: 1
INPUT_CHANNELS: 1
OUTPUT_CHANNELS: 2
# Critic Parameters
IN_CHANNELS: 3
# model train
LEARNING_RATE : 2e-5
LAMBDA_RECON : 100
DISPLAY_STEP : 11
EPOCH : 2