Transfer Learning for Image Classification – Part1
One of the most useful and emerging applications in the ML domain nowadays is using the transfer learning technique; it provides high portability between different frameworks and platforms. Once you’ve trained a neural network, what you get is a set of trained hyperparameters’ values. For example, LeNet-5 has 60k parameter values, AlexNet has 60 million, and VGG- 16 has about 138 million […]
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