{ "item_title" : "Deep Learning, an introduction with two nice short examples", "item_author" : [" Roland Büchi "], "item_description" : "This booklet introduces the most important basics of deep learning. It describes the very frequently used method of how a computer can learn using neural networks and training data and apply what it has learned to other questions similar to the training data. Two simple about 'one-pager' examples in Python show how training a neural network with forward and back propagation works and how the trained system can process simple forms of artificial thinking. The two short Python programs Learning truth tables and Recognizing a questionnaire are printed in full and are easy to follow.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/75/683/263/3756832635_b.jpg", "price_data" : { "retail_price" : "16.50", "online_price" : "16.50", "our_price" : "16.50", "club_price" : "16.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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