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Your AI Code Can Be Elegant Too

Community description: As the Machine Learning Engineering Manager at an AI-powered SaaS company, I get a front-row seat to...

Dev.to | Oct 2, 2026 | Amr Abed

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For me, writing clean code is like signing a piece of art. Here's an image classification transfer learning workflow based on the TensorFlow/Keras documentation. for i, (image, label) in enumerate(train_ds. take(9)): ax = plt. subplot(3, 3, i + 1) train_ds = train_ds. map(lambda x, y: (resize_fn(x), y)) validation_ds = validation_ds. map(lambda x, y: (resize_fn(x), y)) test_ds = test_ds. map(lambda x, y: (resize_fn(x), y)) train_ds = train_ds. map(lambda x, y: (data_augmentation(x), y)) ax = plt. subplot(3, 3, i + 1) weights="imagenet", # Load weights pre-trained on ImageNet. ) # Do not include the ImageNet classifier at the top. scale_layer = keras.

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