From 34da38f64b51cac95475393798efe76e9f3c8aec Mon Sep 17 00:00:00 2001 From: Logan Bauman Date: Wed, 4 May 2022 23:51:19 -0400 Subject: hi --- __pycache__/hyperparameters.cpython-38.pyc | Bin 369 -> 341 bytes __pycache__/losses.cpython-38.pyc | Bin 4473 -> 4395 bytes hyperparameters.py | 2 +- losses.py | 2 +- save.jpg | Bin 30377 -> 28909 bytes 5 files changed, 2 insertions(+), 2 deletions(-) diff --git a/__pycache__/hyperparameters.cpython-38.pyc b/__pycache__/hyperparameters.cpython-38.pyc index 11bc2070..cb33700b 100644 Binary files a/__pycache__/hyperparameters.cpython-38.pyc and b/__pycache__/hyperparameters.cpython-38.pyc differ diff --git a/__pycache__/losses.cpython-38.pyc b/__pycache__/losses.cpython-38.pyc index d583a985..7fdcb544 100644 Binary files a/__pycache__/losses.cpython-38.pyc and b/__pycache__/losses.cpython-38.pyc differ diff --git a/hyperparameters.py b/hyperparameters.py index a0068dd1..71c5325a 100644 --- a/hyperparameters.py +++ b/hyperparameters.py @@ -9,7 +9,7 @@ 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 = 100 +num_epochs = 2000 """ A critical parameter that can dramatically affect whether training diff --git a/losses.py b/losses.py index 407412a1..7c99d73a 100644 --- a/losses.py +++ b/losses.py @@ -21,7 +21,7 @@ class YourModel(tf.keras.Model): print(self.content_image.shape, self.style_image.shape) - self.optimizer = tf.keras.optimizers.RMSprop(learning_rate=hp.learning_rate, momentum=hp.momentum) + self.optimizer = tf.keras.optimizers.Adam() self.vgg16 = [ # Block 1 diff --git a/save.jpg b/save.jpg index 3cd65111..da549196 100644 Binary files a/save.jpg and b/save.jpg differ -- cgit v1.2.3-70-g09d2