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Deep learning retreat scholarships

Hacker News

Deep learning retreat scholarships

I run Deep learning retreat, a 3-month school that takes pretty advanced machine learners and gets them to work together with mentors to produce a killer deep learning portfolio project. We want these projects to have social impact (example: a malaria microscope). We are launching our first batch in SF. We are going to live together (participants and mentors) at walking distance from the office. It's going to be great. It costs 12k. And this is clearly a problem for many, many people. So I'm happy to announce that a benefactor that wishes to remain anonymous contributed money to start up a scholarship program. This is really amazing because we while we didn’t know each other before… we were still united by our mental model of how deep learning can change the world. The scholarships will work as a ‘pay it forward’ model. That is, if you got one, whenever you are well-to-do in your life, give one to someone who needs it. Be anonymous. Since a lot of influential people hang out here, I want to ask you. Can you recommend someone for the scholarship? It's merit first, then need. We want to get the best people possible, and have the maximum amount of impact. If you want to apply yourself, head to https://deeplearningretreat.com/deep-learning-retreat-schola...

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, model · Missing: agents, macos, agent
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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