🧠 Topic: Dive into Deep Learning
💠 Link: https://www.d2l.ai/
💡 Tags: #deep_learning #computer_vision #natural_language_processing #optimization #recommender_systems
#book
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🧩 More: @Aitive
💠 Link: https://www.d2l.ai/
💡 Tags: #deep_learning #computer_vision #natural_language_processing #optimization #recommender_systems
#book
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🧩 More: @Aitive
🧠 Topic: Self-supervised learning and computer vision
💠 Link: https://www.fast.ai/2020/01/13/self_supervised/
💡 Tags: #computer_vision #self_supervised_learning
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🧩 More: @Aitive
💠 Link: https://www.fast.ai/2020/01/13/self_supervised/
💡 Tags: #computer_vision #self_supervised_learning
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🧠 Topic: The Future of Deep Learning Is Unsupervised, AI Pioneers Say
💠 Link: https://www.wsj.com/articles/the-future-of-deep-learning-is-unsupervised-ai-pioneers-say-11581330600
💡 Tags: #deep_learning #unsupervised
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🧩 More: @Aitive
💠 Link: https://www.wsj.com/articles/the-future-of-deep-learning-is-unsupervised-ai-pioneers-say-11581330600
💡 Tags: #deep_learning #unsupervised
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WSJ
The Future of Deep Learning Is Unsupervised, AI Pioneers Say
Machines can do well at recognizing images and understanding language—when humans are involved with training. But for AI to reach new heights, the technology must figure out how to learn on its own, according to three AI pioneers.
🧠 Topic: Meta-Learning: Learning to Learn Fast
💠 Link: https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html
💡 Tags: #artificial_intelligence #meta_learning
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🧩 More: @Aitive
💠 Link: https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html
💡 Tags: #artificial_intelligence #meta_learning
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Lil'Log
Meta Learning
🧠 Topic: Unsupervised Meta-Learning: Learning to Learn without Supervision
💠 Link: https://bair.berkeley.edu/blog/2020/05/01/umrl/
💡 Tags: #artificial_intelligence #unsupervised #meta_learning
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💠 Link: https://bair.berkeley.edu/blog/2020/05/01/umrl/
💡 Tags: #artificial_intelligence #unsupervised #meta_learning
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The Berkeley Artificial Intelligence Research Blog
Unsupervised Meta-Learning: Learning to Learn without Supervision
The BAIR Blog
🧠 Topic: few-shot learning and meta-learning
💠 Link: https://www.borealisai.com/en/blog/tutorial-2-few-shot-learning-and-meta-learning-i/
💡 Tags: #artificial_intelligence #meta_learning #few_shot_learning
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💠 Link: https://www.borealisai.com/en/blog/tutorial-2-few-shot-learning-and-meta-learning-i/
💡 Tags: #artificial_intelligence #meta_learning #few_shot_learning
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🧠 Topic: Self-Supervised Representation Learning
💠 Link: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html
💡 Tags: #artificial_intelligence #self_supervised_learning
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🧩 More: @Aitive
💠 Link: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html
💡 Tags: #artificial_intelligence #self_supervised_learning
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Lil'Log
Self Supervised Learning
🧠 Topic: Yann LeCun and Yoshua Bengio: Self-supervised learning is the key to human-level intelligence
💠 Link: https://venturebeat.com/2020/05/02/yann-lecun-and-yoshua-bengio-self-supervised-learning-is-the-key-to-human-level-intelligence/
💡 Tags: #artificial_intelligence #self_supervised_learning
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💠 Link: https://venturebeat.com/2020/05/02/yann-lecun-and-yoshua-bengio-self-supervised-learning-is-the-key-to-human-level-intelligence/
💡 Tags: #artificial_intelligence #self_supervised_learning
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VentureBeat
Yann LeCun and Yoshua Bengio: Self-supervised learning is the key to human-level intelligence
Turing Award winners Yoshua Bengio and Yann LeCun spoke during a session at tthe International Conference on Learning Representations (ICLR) 2020.
Linear_Algebra_and_Optimization_for_Machine_Learning_A_Textbook.pdf
9.5 MB
🧠 Topic: Linear Algebra and Optimization for Machine Learning: A Textbook by Charu C. Aggarwal
💠 Link: https://link.springer.com/book/10.1007/978-3-030-40344-7
💡 Tags: #linear_algebra #machine_learning #optimization #book
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🧩 More: @Aitive
💠 Link: https://link.springer.com/book/10.1007/978-3-030-40344-7
💡 Tags: #linear_algebra #machine_learning #optimization #book
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Introduction_to_Machine_Learning_by_Ethem_Alpaydin_z_lib_org.pdf
26 MB
🧠 Topic: Introduction to Machine Learning, Third Edition by Ethem Alpaydın
💠 Link: https://www.cmpe.boun.edu.tr/~ethem/i2ml3e/
💡 Tags: #machine_learning #book
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💠 Link: https://www.cmpe.boun.edu.tr/~ethem/i2ml3e/
💡 Tags: #machine_learning #book
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Christopher_M_Bishop_Pattern_Recognition_and_Machine_Learning_Springer.pdf
4.5 MB
🧠 Topic: Pattern Recognition and Machine Learning by Christopher Bishop
💠 Link: https://www.springer.com/gp/book/9780387310732
💡 Tags: #machine_learning #book
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💠 Link: https://www.springer.com/gp/book/9780387310732
💡 Tags: #machine_learning #book
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Hands_On_Machine_Learning_with_Scikit_Learn,_Keras,_and_TensorFlow.pdf
55.8 MB
🧠 Topic: Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron
💠 Link: https://www.oreilly.com/library/view/hands-on-machine-learning/9781491962282/
💡 Tags: #machine_learning #book
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💠 Link: https://www.oreilly.com/library/view/hands-on-machine-learning/9781491962282/
💡 Tags: #machine_learning #book
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The_hundred_page_machine_learning_book_by_Burkov,_Andriy_z_lib_org.pdf
21.1 MB
🧠 Topic: The Hundred-Page Machine Learning Book by Andriy Burkov
💠 Link: http://themlbook.com/
💡 Tags: #machine_learning #book
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🧩 More: @Aitive
💠 Link: http://themlbook.com/
💡 Tags: #machine_learning #book
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Learning_From_Data_A_short_course_by_Yaser_S_Abu_Mostafa,_Malik.pdf
5 MB
🧠 Topic: Learning from Data: A Short Course by Malik Magdon-Ismail and Yaser Abu-Mostafa
💠 Link: http://amlbook.com/
💡 Tags: #machine_learning #book
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🧩 More: @Aitive
💠 Link: http://amlbook.com/
💡 Tags: #machine_learning #book
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Understanding_Machine_Learning_From_Theory_to_Algorithms_by_Shalev.pdf
2.9 MB
🧠 Topic: Understanding Machine Learning: From Theory to Algorithms by Shai Ben-David and Shai Shalev-Shwartz
💠 Link: https://www.cambridge.org/core/books/understanding-machine-learning/3059695661405D25673058E43C8BE2A6
💡 Tags: #machine_learning #book
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💠 Link: https://www.cambridge.org/core/books/understanding-machine-learning/3059695661405D25673058E43C8BE2A6
💡 Tags: #machine_learning #book
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🧠 Topic: Deep Learning Drizzle
💠 Link: https://deep-learning-drizzle.github.io/
💡 Tags: #resource #course #machine_learning #deep_learning
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🧩 More: @Aitive
💠 Link: https://deep-learning-drizzle.github.io/
💡 Tags: #resource #course #machine_learning #deep_learning
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🧠 Topic: Meta-Learning with Differentiable Convex Optimization
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Meta-Learning_With_Differentiable_Convex_Optimization_CVPR_2019_paper.pdf
💡 Tags: #meta_learning #few_shot
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💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Meta-Learning_With_Differentiable_Convex_Optimization_CVPR_2019_paper.pdf
💡 Tags: #meta_learning #few_shot
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🧩 More: @Aitive
🧠 Topic: AutoAugment: Learning Augmentation Strategies from Data
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Cubuk_AutoAugment_Learning_Augmentation_Strategies_From_Data_CVPR_2019_paper.pdf
💡 Tags: #augmentation
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🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Cubuk_AutoAugment_Learning_Augmentation_Strategies_From_Data_CVPR_2019_paper.pdf
💡 Tags: #augmentation
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🧠 Topic: Feature Denoising for Improving Adversarial Robustness
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Feature_Denoising_for_Improving_Adversarial_Robustness_CVPR_2019_paper.pdf
💡 Tags: #computer_vision
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🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Feature_Denoising_for_Improving_Adversarial_Robustness_CVPR_2019_paper.pdf
💡 Tags: #computer_vision
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🧠 Topic: Selective Kernel Networks
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Selective_Kernel_Networks_CVPR_2019_paper.pdf
💡 Tags: #computer_vision
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🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Selective_Kernel_Networks_CVPR_2019_paper.pdf
💡 Tags: #computer_vision
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🧠 Topic: Bag of Tricks for Image Classification with Convolutional Neural Networks
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks_CVPR_2019_paper.pdf
💡 Tags: #cnn
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🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks_CVPR_2019_paper.pdf
💡 Tags: #cnn
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