Sentiment Analysis, NLP, Neural Networks, Machine Learning, Artificial Intelligence.
content_features.items()} # Style transfer loop epochs = 10 steps_per_epoch = 100 for epoch in range(epochs): for step in range(steps_per_epoch): with tf.GradientTape() as tape: outputs = extractor(generated_image) loss = style_content_loss(style_targets, content_targets, outputs, content_outputs)