Sayak Paul
Machine Learning Street Talk (MLST)
Exploring the Lottery Ticket Hypothesis in Neural Networks
This chapter delves into the lottery ticket hypothesis and its relevance to neural networks, particularly in models like ResNet-50 using datasets such as ImageNet and CIFAR-10. It highlights software engineering strategies, including TensorFlow's model optimization tools, to address the challenges of large model parameters.
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