🧠 Diving deep into #DeepLearning? Explore the evolution of convolutional neural networks (CNNs) from the foundational AlexNet to the cutting-edge High-Resolution network (https://t.co/W7CyYYD6sv). A comprehensive review not to be missed! 🖥️🔍 🔗 [https:/
RT @MarkDePristo: A great, accessible, open review of deep learning tech and applications: https://t.co/RB0eho95DI
A great, accessible, open review of deep learning tech and applications: https://t.co/RB0eho95DI
Deep learning review - fairly recent and well documented. #deeplearning #datasciences #artificialintelligence https://t.co/IfgI8isrPQ
RT @RyoMasahiro: In our journal club we read: Alzubaidi et al. 2021 "Review of deep learning: concepts, CNN architectures, challenges, ap…
This link https://t.co/HBIf9rDxck
RT @RyoMasahiro: In our journal club we read: Alzubaidi et al. 2021 "Review of deep learning: concepts, CNN architectures, challenges, ap…
RT @RyoMasahiro: In our journal club we read: Alzubaidi et al. 2021 "Review of deep learning: concepts, CNN architectures, challenges, ap…
RT @RyoMasahiro: In our journal club we read: Alzubaidi et al. 2021 "Review of deep learning: concepts, CNN architectures, challenges, ap…
In our journal club we read: Alzubaidi et al. 2021 "Review of deep learning: concepts, CNN architectures, challenges, applications, future directions" Highly recommended to those who somewhat knows deep learning but want to consolidate the basics. http
Follow @sachin36500081 Image courtesy: https://t.co/mj8WbFZZA4 https://t.co/SezfkjMxBl
RT @kerberos007: I am working to generate 1,000,000 "Tulip" chart 🦃patterns (hint, hint) to feed into my cutting-edge AI CNN image classifi…
this project is still on-going 👌🧐🧐🧐👌
@sophiegooning @addicted_em @SubmitToLust this is a pretty decent survey https://t.co/wqVjXmgxkO tl;dr progress has not stalled out because of some architecture breakthroughs mostly related to attention, so for now "stack more layers" is still working
for the motivated followers, eager to learn the cutting-edge AI deep neuron network learning technology (especially CNN-convolutional neuron networks) read below excellent survey article🧐 one of the best educational summary articles in recent years👌 htt
Don @kerberos007 is a bad bad man 🤯
I am working to generate 1,000,000 "Tulip" chart 🦃patterns (hint, hint) to feed into my cutting-edge AI CNN image classification tehnology after a few days (weeks) of training, can my CNN robot predict "tulip" stocks with 90% accuracy? 😉🍻 https://t.co/p
=> "Review of deep learning: concepts, CNN architectures, challenges, applications, future directions", Survey Paper, Journal of Bid Data, Mar 31, 2021 https://t.co/ZSlplFJlLu 74 pages, 343 references Open Access L. Alzubaidi https://t.co/er49k8XSIJ htt
Review of the deep convolutional neural networks architectures: Chronology, Applications, Challenges, and more. I found them really insightful, check them out! #DeepLearning https://t.co/WYwNV046eJ https://t.co/926fHepzyc https://t.co/KyvcUKJFVi
[Review] Introduction to deep learning, which is increasingly used in psychology (e.g. word embeddings as models for semantic memory). Open access https://t.co/91RPRvQIuT
Review of #DeepLearning : concepts , CNN architectures , challenges , applications , future directions - PubMed https://t.co/ok5tgMjYL0 H/T: @jmankin
#NLP "Review of deep learning: concepts, CNN architectures, challenges, applications, future directions" https://t.co/uH87Scnv6R
New post: "Review of deep learning: concepts, CNN architectures, challenges, applications, future directions" https://t.co/HyYxtzJKP9
RT @gotruvay: Review of deep learning: concepts, CNN architectures, challenges, applications, future directions https://t.co/tND57sRY0B B…
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions https://t.co/tND57sRY0B Become a better expert via https://t.co/3Lriam4BWS #ML #AI #MachineLearning #Datascience #100DaysOfMLCode #100DaysOfCode @thinkdefe