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dataset: | ||
name: mnist-subset | ||
augmentation: None | ||
loader: torch | ||
batch_size: 1 | ||
num_workers: 0 | ||
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run: | ||
n_epochs: 15 | ||
current_epoch: 0 | ||
plots: | ||
enable: True | ||
only_last_epoch: False | ||
store_path: "../tmp/test/" | ||
store_state_path: None | ||
load_state_path: None | ||
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metrics: | ||
- mse: | ||
type: MeanSquaredError | ||
meter: avg | ||
- mae: | ||
type: MeanAbsoluteError | ||
meter: avg | ||
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optimizers: | ||
l2_opt: | ||
type: Adam | ||
params: | ||
lr: 0.05 | ||
betas: [ 0.9, 0.999 ] | ||
eps: 0.00000001 | ||
weight_decay: 0 | ||
amsgrad: False | ||
scheduler: | ||
type: ReduceLROnPlateau | ||
params: | ||
mode: min | ||
factor: 0.1 | ||
patience: 5 | ||
threshold: 0.0001 | ||
threshold_mode: rel | ||
cooldown: 0 | ||
min_lr: 0.000001 | ||
eps: 0.00000001 | ||
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logging: | ||
wandb: | ||
active: False, | ||
save_dir: "../wandb" | ||
project: "lateral_connections_toy_example" | ||
log_model: True | ||
group: null # "hebbian_learning" | ||
job_type: null # "train" | ||
console: | ||
active: True | ||
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feature_extractor: | ||
out_channels: 4 | ||
add_bg_channel: False | ||
bin_threshold: 0. # set to 0.5 to obtain better features | ||
optimized_filter_lines: True # set to True to obtain better features | ||
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lateral_model: | ||
channels: 4 | ||
max_timesteps: 1 # 1 = only one forward pass without recurrent connection | ||
min_k: 2 | ||
max_k: 3 | ||
l1_type: 'lateral_flex' | ||
l1_params: | ||
locality_size: 3 | ||
lr: 20.0 | ||
hebbian_rule: 'vanilla' | ||
neg_corr: True | ||
act_threshold: 0.15 # 'bernoulli' | ||
square_factor: 1.5 | ||
support_factor: 5 |
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