From 00991837cc0bbb62b98ab3024ea795a18cf2dde8 Mon Sep 17 00:00:00 2001 From: Logan Bauman Date: Sat, 7 May 2022 15:58:27 -0400 Subject: hi --- data/content.jpeg | Bin 0 -> 68587 bytes data/style.jpeg | Bin 0 -> 65581 bytes hyperparameters.py | 4 ++-- 3 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 data/content.jpeg create mode 100644 data/style.jpeg diff --git a/data/content.jpeg b/data/content.jpeg new file mode 100644 index 00000000..398d20ea Binary files /dev/null and b/data/content.jpeg differ diff --git a/data/style.jpeg b/data/style.jpeg new file mode 100644 index 00000000..0c4015df Binary files /dev/null and b/data/style.jpeg differ diff --git a/hyperparameters.py b/hyperparameters.py index 6c82a745..a15d04ac 100644 --- a/hyperparameters.py +++ b/hyperparameters.py @@ -9,14 +9,14 @@ Number of epochs. If you experiment with more complex networks you might need to increase this. Likewise if you add regularization that slows training. """ -num_epochs = 7000 +num_epochs = 10000 """ A critical parameter that can dramatically affect whether training succeeds or fails. The value for this depends significantly on which optimizer is used. Refer to the default learning rate parameter """ -learning_rate = 2e-3 +learning_rate = .002 momentum = 0.01 -- cgit v1.2.3-70-g09d2