Episode 010 - Lesson 5 - Part 1 (Practical Deep Learning For Coders) Startup Data Science podcast

#Deep Learning #Startup Data Science #Alex Au #Apurva Naik #Edderic Ugaddan #Podcasting Education

40:50

“That's taxpayer’s money that is going to support research and development and pilot projects to develop a food system that is based on environmental destruction and greed and disregard for animals, fish, and any of the other marine mammals that might be around it.” - Andrianna Natsoulas Andrianna Natsoulas is the campaign director for Don't Cage Our Oceans, an organization that exists to keep our oceans free from industrial fish farms. Offshore finfish farming is the mass cultivation of finfish in marine waters, in underwater or floating net pens, pods, and cages. Offshore finfish farms are factory farms that harm public health, the environment, and local communities and economies that rely on the ocean and its resources. Don’t Cage Our Oceans are a coalition of diverse organizations working together to stop the development of offshore finfish farming in the United States through federal law, policies, and coalition building. And, although it is not yet happening, right now the US Administration and Congress are promoting this kind of farming, which would be nothing short of disastrous for the oceans, the planet and the people and animals who live here. dontcageouroceans.org…

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Episode 010 - Lesson 5 - Part 1 (Practical Deep Learning for Coders)

7年之前 31:35

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Alex gives a quick recap of Lesson 5, using embeddings with imdb review data to categorize movies into clusters using Natural Language Processing (NLP). Edderic, Apurva, and Alex discuss what they're excited about with using NLP and also speak to their motivation as they continue to learn deep learning.

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Episode 010 - Lesson 5 - Part 1 (Practical Deep Learning for Coders)

Startup Data Science

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published 7年之前

M4A•单集首页

9集单集

#Deep Learning #Startup Data Science #Alex Au #Apurva Naik #Edderic Ugaddan #Podcasting Education

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Episode 010 - Lesson 5 - Part 1 (Practical Deep Learning for Coders) 31:35

7 years之前31:35

31:35

1
Episode 009 - Lesson 4 - Part 2 (Practical Deep Learning for Coders) 25:50

8 years之前25:50

25:50

Alex is excited about collaborative filtering and he could see using it in his startup to help people unlearn toxic behaviors and beliefs in a productive way. Apurva started working remotely; she found it hard to stay motivated to study. She has issues with collaborative filtering in Netflix; she feels like Netflix's recommendation algorithm is not good for discovering new things because she thinks the recommendations tend to be similar to the past. Edderic's been busy with work at Lingo Live. Edderic enjoys the part of the video lesson where Jeremy destroys the movie data set recommender benchmark seamlessly with a Neural Network.…

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Episode 008 - Lesson 4 - Part 1 (Practical Deep Learning for Coders) 31:26

8 years之前31:26

31:26

Apurva loved Jeremy's presentation using Excel to show how calculations are being made; it was a great confidence-building exercise for her to replicate it in Excel. Edderic's excited about Jeremy's claim that Convolutional Neural Networks are doing well in Speech Recognition. There are tons of machine learning algorithms out there; he thinks it would be nice to have just one super algorithm/architecture to rule them all. Alex explains his idea of convolution through an analogy.…

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Episode 007 - Lesson 3 - Part 2 (Practical Deep Learning for Coders) 42:40

8 years之前42:40

42:40

Alex thinks dropout is cool. He's still not quite sure what batch normalization is. Regarding ImageNet competition, Apurva, along with offering tips to staying motivated to learning says that instead of creating "new" models, people are only doing ensembling now to get a marginal edge over everyone else. Edderic announces revamping his PC workstation for deep learning (bye-bye Amazon!)…

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Episode 006 - Lesson 3 - Part 1 (Practical Deep Learning for Coders) 32:36

8 years之前32:36