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add tanh activation for pyramid

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Hunor Laczko
2022-10-29 20:16:17 +00:00
parent 73ef4fe4d1
commit 3544027d2e
1 changed files with 1 additions and 1 deletions
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models/pyramid_model_optimized.py
+1 -1
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@@ -38,7 +38,7 @@ class Pyramid(tf.keras.Model):
self.cond_encoder = tf.keras.Sequential([tf.keras.layers.Dense(512, activation='relu'), self.cond_encoder = tf.keras.Sequential([tf.keras.layers.Dense(512, activation='relu'),
tf.keras.layers.Dense(256, activation='relu'), tf.keras.layers.Dense(256, activation='relu'),
tf.keras.layers.Dense(128, activation='relu'), tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dense(config['pyramid']['latent_dim']),]) tf.keras.layers.Dense(config['pyramid']['latent_dim'], activation='tanh'),])
self.levels = [PyramidLevel({ **config['pyramid']['levels'][i], **{ 'cond_ae': config['cond_ae']} }) for i in range(len(config['pyramid']['levels']))] self.levels = [PyramidLevel({ **config['pyramid']['levels'][i], **{ 'cond_ae': config['cond_ae']} }) for i in range(len(config['pyramid']['levels']))]