#nervos — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #nervos, aggregated by home.social.
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Etwas aufgeregt, etwas nervös, ein wenig unbeholfen, aber immer guter Dinge. Ob @evamariagreinvonfriedl mich mögen wird?
Das seht ihr in der Folge 4340 bei den @rote_rosen
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https://www.europesays.com/at/97205/ Rheinmetall: Warum Anleger nervös werden #Aktie #Anleger #AT #Austria #Bewertung #Business #Companies #Companies&Markets #Markets #Märkte #nervös #Österreich #Rheinmetall #Unternehmen #Unternehmen&Märkte #Verkaufssignale
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Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:
🌍https://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:
🌍https://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:
🌍https://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:
🌍https://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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Just came across an elegant new #SNN framework called #nervos by Maskeen and Lashkare, which implements a two layer SNN w/ local #STDP #learning to classify, e.g., #MNIST digits. Here is an example, where I apply it to a 6-class subset of MNIST. The model reaches around 85% accuracy & the learned synapses show digit-like patterns. Quite impressive in my view, given the simplicity of the architecture & the local learning rule:
🌍https://www.fabriziomusacchio.com/blog/2026-02-16-nervos_stdp_snn_simulation_on_mnist/
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Mit Korrekturlesen fast fertig. Als nächstes kommen Klappen- und Autorentext, dann wäre es für ein paar Probeleser bereit. 😊😳🫣😬
#MeinErstesBuch #Autorin #korrekturlesen #IchSchreibeEinBuch #SchreibCommunity #writingcommunity #BookAuthorToBe #Nervös
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Guten Morgen in die Runde.
Ab morgen gilt's ernst: Neuer Job, neue Branche, neue Leute. Und ein Arbeitsweg, der mehr als 20 Sekunden beansprucht (nicht mehr 100% home office).
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8 New Cryptocurrency Releases on Top Exchanges in 2022
https://www.coinspeaker.com/8-new-cryptocurrency-releases-2022/
#greensatoshitoken #voyagertoken #luckyblock #Sponsored #apecoin #cartesi #nervos #mobox #gala -
RT from Nervos (@NervosNetwork)
#Nervos 🤝 @MELD_labs
/search?q=%23ADA #DeFi banking protocol MELD will use Nervos’ cross-chain bridge Force Bridge for liquidity 🎉 The news comes as Nervos continues to build its bridge to #Cardano in partnership with @InputOutputHK.Find out more 👉 https://bit.ly/3DU5raN
[Video embedded in original tweet]