🧠 Topic: Learning from humans: what is inverse reinforcement learning?
💠 Link: https://thegradient.pub/learning-from-humans-what-is-inverse-reinforcement-learning/
💡 Tags: #reinforcement_learning #artificial_intelligence
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💠 Link: https://thegradient.pub/learning-from-humans-what-is-inverse-reinforcement-learning/
💡 Tags: #reinforcement_learning #artificial_intelligence
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The Gradient
Learning from humans: what is inverse reinforcement learning?
One of the goals of AI research is to teach machines how to do the same things people do, but better. In the early 2000s, this meant focusing on problems like flying helicopters and walking up flights of stairs. However, there’s still a massive list of problems…
🧠 Topic: The real reason why BatchNorm works
💠 Link: https://towardsdatascience.com/why-batchnorm-works-518bb004bc58
💡 Tags: #deep_learning #optimization
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🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/why-batchnorm-works-518bb004bc58
💡 Tags: #deep_learning #optimization
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Medium
The real reason why BatchNorm works
Understanding how ”loss landscape” changes with Batch Normalisation
🧠 Topic: Learn the foundations of residual networks and build a ResNet in Keras
💠 Link: https://towardsdatascience.com/hitchhikers-guide-to-residual-networks-resnet-in-keras-385ec01ec8ff
💡 Tags: #cnn #keras #computer_vision #code
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💠 Link: https://towardsdatascience.com/hitchhikers-guide-to-residual-networks-resnet-in-keras-385ec01ec8ff
💡 Tags: #cnn #keras #computer_vision #code
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Medium
Hitchhiker’s Guide to Residual Networks (ResNet) in Keras
Learn the foundations of residual networks and build a ResNet in Keras
🧠 Topic: Boost your CNN image classifier performance with progressive resizing in Keras
💠 Link: https://towardsdatascience.com/boost-your-cnn-image-classifier-performance-with-progressive-resizing-in-keras-a7d96da06e20
💡 Tags: #cnn #keras #deep_learning
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💠 Link: https://towardsdatascience.com/boost-your-cnn-image-classifier-performance-with-progressive-resizing-in-keras-a7d96da06e20
💡 Tags: #cnn #keras #deep_learning
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🧠 Topic: A Simple Guide to the Versions of the Inception Network
💠 Link: https://towardsdatascience.com/a-simple-guide-to-the-versions-of-the-inception-network-7fc52b863202
💡 Tags: #cnn #computer_vision #deep_learning
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💠 Link: https://towardsdatascience.com/a-simple-guide-to-the-versions-of-the-inception-network-7fc52b863202
💡 Tags: #cnn #computer_vision #deep_learning
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Medium
A Simple Guide to the Versions of the Inception Network
The Inception network was an important milestone in the development of CNN classifiers. Prior to its inception (pun intended), most popular…
🧠 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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🧠 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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💠 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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💠 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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💠 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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💠 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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💠 Link: http://themlbook.com/
💡 Tags: #machine_learning #book
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