Sayak Paul
Machine Learning Street Talk (MLST)
00:00
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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