Why reducing the costs of training neural networks remains a challenge

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Linked pages

Why neural networks struggle with the Game of Life – TechTalks https://bdtechtalks.com/2020/09/16/deep-learning-game-of-life/ 68 comments
[1803.03635] The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks https://arxiv.org/abs/1803.03635 32 comments
Why ChatGPT is not a threat to Google Search – TechTalks https://bdtechtalks.com/2023/01/02/chatgpt-google-search/ 15 comments
The GPT-3 economy - TechTalks https://bdtechtalks.com/2020/09/21/gpt-3-economy-business-model/ 4 comments
How the “bigger is better” mentality damages AI research – TechTalks https://bdtechtalks.com/2019/11/25/ai-research-neural-networks-compute-costs/ 3 comments
[2006.05467] Pruning neural networks without any data by iteratively conserving synaptic flow https://arxiv.org/abs/2006.05467 1 comment
The fourth industrial revolution: Taking the robotics out of human jobs – TechTalks https://bdtechtalks.com/2020/10/09/jobs-automation-industrial-revolution/ 0 comments
Machine Learning Algorithms: Deepen your Python ML knowledge – TechTalks https://bdtechtalks.com/2020/10/14/machine-learning-algorithms-2nd-edition-review/ 0 comments
[2002.07376] Picking Winning Tickets Before Training by Preserving Gradient Flow https://arxiv.org/abs/2002.07376 0 comments
[2009.08576] Pruning Neural Networks at Initialization: Why are We Missing the Mark? https://arxiv.org/abs/2009.08576 0 comments
What is the “forward-forward” algorithm, Geoffrey Hinton’s new AI technique? – TechTalks https://bdtechtalks.com/2022/12/19/forward-forward-algorithm-geoffrey-hinton/ 0 comments
https://bdtechtalks.com/2022/12/27/power-and-prediction-review/ 0 comments
What happens to OpenAI if it reaches $29 billion in valuation – TechTalks https://bdtechtalks.com/2023/01/09/openai-tender-offer/ 0 comments