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| author | Jules Laplace <julescarbon@gmail.com> | 2020-02-20 23:18:40 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-02-20 23:18:40 +0100 |
| commit | 50d642ee747690fa56980c79d5fbc7c1b438d672 (patch) | |
| tree | 861679f2909fc753babf5b2105e83bd769596672 /cli/app/search/search_dense.py | |
| parent | b8377075977b781a7495d0fe14d834a382e74306 (diff) | |
vgg?
Diffstat (limited to 'cli/app/search/search_dense.py')
| -rw-r--r-- | cli/app/search/search_dense.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 3c8a98c..53c548b 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -320,7 +320,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op # Optimizer. # -------------------------- if params.decay_lr: - lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it, 0.9) + lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it, 0.1) # lrate = tf.train.exponential_decay(params.lr, inv_step, params.inv_it / params.decay_n, 0.1, staircase=True) else: lrate = tf.constant(params.lr) |