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Silk. Luxurious and costly, silk was used only by the wealthiest of classes and the Church. Hemp. Less costly than flax, hemp and nettles were used to create workaday fabrics in the Middle Ages. Though more common for such uses as sails and rope, hemp may also have been used for aprons and undergarments. Cotton.The typical household spends $120 per month on clothing, which accounts for only 2% of our monthly income in the U.S. Average household expenses in the U.S. The typical American household spends $5,111 per month, on average. The largest expense for most Americans is housing. At $1,050 per month, the cost of having a roof over our …

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Here, 60,000 images are used to train the network and 10,000 images to evaluate how accurately the network learned to classify images. You can access the Fashion MNIST directly from TensorFlow. Import and load the Fashion MNIST data directly from TensorFlow: fashion_mnist = tf.keras.datasets.fashion_mnist.

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Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIST shares the same image size, data format and the structure of training and testing splits with the original MNIST.

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