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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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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💠 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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💠 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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🧠 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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💠 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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💠 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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💠 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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💠 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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🧠 Topic: MirrorGAN: Learning Text-to-image Generation by Redenoscription
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiao_MirrorGAN_Learning_Text-To-Image_Generation_by_Redenoscription_CVPR_2019_paper.pdf
💡 Tags: #GAN
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💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiao_MirrorGAN_Learning_Text-To-Image_Generation_by_Redenoscription_CVPR_2019_paper.pdf
💡 Tags: #GAN
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🧠 Topic: MnasNet: Platform-Aware Neural Architecture Search for Mobile
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Tan_MnasNet_Platform-Aware_Neural_Architecture_Search_for_Mobile_CVPR_2019_paper.pdf
💡 Tags: #computer_vision #cnn
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💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Tan_MnasNet_Platform-Aware_Neural_Architecture_Search_for_Mobile_CVPR_2019_paper.pdf
💡 Tags: #computer_vision #cnn
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🧠 Topic: Feature Selective Anchor-Free Module for Single-Shot Object Detection
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Feature_Selective_Anchor-Free_Module_for_Single-Shot_Object_Detection_CVPR_2019_paper.pdf
💡 Tags: #computer_vision #cnn
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💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Feature_Selective_Anchor-Free_Module_for_Single-Shot_Object_Detection_CVPR_2019_paper.pdf
💡 Tags: #computer_vision #cnn
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🧠 Topic: Meta-Transfer Learning for Few-Shot Learning
💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Meta-Transfer_Learning_for_Few-Shot_Learning_CVPR_2019_paper.pdf
💡 Tags: #meta_learning
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💠 Link: https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Meta-Transfer_Learning_for_Few-Shot_Learning_CVPR_2019_paper.pdf
💡 Tags: #meta_learning
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🧠 Topic: Foundation of deep learning
💠 Link: https://youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf
💡 Tags: #deep_learning #gan #meta_learning #self_supervised #reinforcement_learning
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💠 Link: https://youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf
💡 Tags: #deep_learning #gan #meta_learning #self_supervised #reinforcement_learning
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YouTube
Foundations of Deep Learning- Soheil Feizi
Share your videos with friends, family, and the world
🧠 Topic: Deep Learning with PyTorch
💠 Link: https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG
💡 Tags: #deep_learning #cnn
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💠 Link: https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG
💡 Tags: #deep_learning #cnn
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🧠 Topic: Comprehensive Introduction to Autoencoders
💠 Link: https://towardsdatascience.com/generating-images-with-autoencoders-77fd3a8dd368
💡 Tags: #deep_learning #autoencoder
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💠 Link: https://towardsdatascience.com/generating-images-with-autoencoders-77fd3a8dd368
💡 Tags: #deep_learning #autoencoder
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Medium
Comprehensive Introduction to Autoencoders
In the following weeks, I will post a series of tutorials giving comprehensive introductions into unsupervised and self-supervised learning using neural networks for the purpose of image generation…
Eli_Stevens,_Luca_Antiga,_Thomas_Viehmann_Deep_Learning_with_PyTorch.pdf
44 MB
🧠 Topic: Deep learning with pytorch
💠 Link: https://www.manning.com/books/deep-learning-with-python
💡 Tags: #deep_learning #pytorch
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💠 Link: https://www.manning.com/books/deep-learning-with-python
💡 Tags: #deep_learning #pytorch
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