Category : implementation

According to the PyTorch documentation, the advantage of the class BCEWithLogitsLoss() is that one can use the log-sum-exp trick for numerical stability. If we use the class BCEWithLogitsLoss() with the parameter reduction set to None, they have a formula for that: Loss I now simplified the terms, and obtain after some lines of calculation: Loss ..

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”’ from Implementation import ProductsImplementation, VendorImplementation if name == ‘main‘: vendor = VendorImplementation.VendorImplementation() products = ProductsImplementation.ProductsImplementation() vendor.add_vendor(‘john’, ‘john07’, ‘jonnybones’) vendor.login(‘john07’, ‘jonnybones’) products.add_product("Lenovo Thinkpad", "Laptop", 40, 20000) products.add_product("Dell Inspiron", "Laptop", 40, 30000) products.add_product("Acer razor", "Laptop", 40, 25000) products.add_product("Asus Tinker", "Laptop", 40, 20000) products.add_product("Lenovo Gaming", "Laptop", 40, 20000) products.search_product_by_name("Lenovo Gaming") products.get_all_products() vendor.logout() ”’ Source: Python-3x..

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