🧠 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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🧠 Topic: 2020’s Top AI & Machine Learning Research Papers
💠 Link: https://www.topbots.com/ai-machine-learning-research-papers-2020/
💡 Tags: #machine_learning
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💠 Link: https://www.topbots.com/ai-machine-learning-research-papers-2020/
💡 Tags: #machine_learning
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TOPBOTS
2020’s Top AI & Machine Learning Research Papers
To help you catch up on essential reading, we’ve summarized 10 important machine learning research papers from 2020.
🧠 Topic: What is Model-Agnostic Meta-learning (MAML) ?
💠 Link: https://towardsdatascience.com/model-agnostic-meta-learning-maml-8a245d9bc4ac
💡 Tags: #meta_learning
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💠 Link: https://towardsdatascience.com/model-agnostic-meta-learning-maml-8a245d9bc4ac
💡 Tags: #meta_learning
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Medium
What is Model-Agnostic Meta-learning (MAML) ?
Artificial intelligence is trying to learn how to learn from the way humans learn. We can quickly and easily recognize a new object from…
🧠 Topic: Illustrated: 10 CNN Architectures
💠 Link: https://towardsdatascience.com/illustrated-10-cnn-architectures-95d78ace614d
💡 Tags: #deep_learning #cnn
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💠 Link: https://towardsdatascience.com/illustrated-10-cnn-architectures-95d78ace614d
💡 Tags: #deep_learning #cnn
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Medium
Illustrated: 10 CNN Architectures
A compiled visualisation of the common convolutional neural networks
🧠 Topic: Review: DenseNet — Dense Convolutional Network (Image Classification)
💠 Link: https://towardsdatascience.com/review-densenet-image-classification-b6631a8ef803
💡 Tags: #deep_learning #cnn
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💠 Link: https://towardsdatascience.com/review-densenet-image-classification-b6631a8ef803
💡 Tags: #deep_learning #cnn
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Medium
Review: DenseNet — Dense Convolutional Network (Image Classification)
In this story, DenseNet (Dense Convolutional Network) is reviewed. This is the paper in 2017 CVPR which got Best Paper Award with over 2000…
🧠 Topic: Building Inception-Resnet-V2 in Keras from scratch
💠 Link: https://medium.com/the-owl/building-inception-resnet-v2-in-keras-from-scratch-a3546c4d93f0
💡 Tags: #deep_learning #cnn
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💠 Link: https://medium.com/the-owl/building-inception-resnet-v2-in-keras-from-scratch-a3546c4d93f0
💡 Tags: #deep_learning #cnn
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Medium
Building Inception-Resnet-V2 in Keras from scratch
Both the Inception and Residual networks are SOTA architectures, which have shown very good performance with relatively low computational…
🧠 Topic: Understanding and Implementing Architectures of ResNet and ResNeXt for state-of-the-art Image Classification
💠 Link: https://medium.com/@14prakash/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cc5d0adf648e
💡 Tags: #deep_learning #cnn
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💠 Link: https://medium.com/@14prakash/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cc5d0adf648e
💡 Tags: #deep_learning #cnn
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Medium
Understanding and Implementing Architectures of ResNet and ResNeXt for state-of-the-art Image…
In this part-2/2 of blog post we will explore the optimal functions used in skip-connections of ResNet blocks. Discuss the ResNeXt…
🧠 Topic: Self-Supervised Learning of Pretext-Invariant Representations
💠 Link: https://openaccess.thecvf.com/content_CVPR_2020/papers/Misra_Self-Supervised_Learning_of_Pretext-Invariant_Representations_CVPR_2020_paper.pdf
💡 Tags: #self_supervised
💠 Link: https://openaccess.thecvf.com/content_CVPR_2020/papers/Misra_Self-Supervised_Learning_of_Pretext-Invariant_Representations_CVPR_2020_paper.pdf
💡 Tags: #self_supervised
Machine Learning Engineering by Andriy Burkov (z-lib.org).pdf
48.2 MB
🧠 Topic: Machine Learning Engineering
Book by Andriy Burkov
💠 Link: http://www.mlebook.com/
💡 Tags: #machine_learning #book
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Book by Andriy Burkov
💠 Link: http://www.mlebook.com/
💡 Tags: #machine_learning #book
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Neuronal_Dynamics_From_Single_Neurons_to_Networks_and_Models_of.pdf
10.2 MB
🧠 Topic: Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
💠 Link: https://neuronaldynamics.epfl.ch/
💡 Tags: #neuroscience #book
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💠 Link: https://neuronaldynamics.epfl.ch/
💡 Tags: #neuroscience #book
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Peter_Dayan,_L_F_Abbott_Theoretical.pdf
8.3 MB
🧠 Topic: Theoretical Neuroscience
💠 Link: https://mitpress.mit.edu/books/theoretical-neuroscience
💡 Tags: #neuroscience #book
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💠 Link: https://mitpress.mit.edu/books/theoretical-neuroscience
💡 Tags: #neuroscience #book
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🧠 Topic: Awesome Self-Spervised Learning
💠 Link: https://github.com/jason718/awesome-self-supervised-learning
💡 Tags: #self_supervise
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💠 Link: https://github.com/jason718/awesome-self-supervised-learning
💡 Tags: #self_supervise
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GitHub
GitHub - jason718/awesome-self-supervised-learning: A curated list of awesome self-supervised methods
A curated list of awesome self-supervised methods. Contribute to jason718/awesome-self-supervised-learning development by creating an account on GitHub.
🧠 Topic: Activation Functions: Which is better ?
💠 Link: https://www.mlground.com/activation-functions-which-is-better/
💡 Tags: #neural_network
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💠 Link: https://www.mlground.com/activation-functions-which-is-better/
💡 Tags: #neural_network
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🧠 Topic: Activation Functions Explained - GELU, SELU, ELU, ReLU and more
💠 Link: https://mlfromscratch.com/activation-functions-explained/
💡 Tags: #neural_network
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💠 Link: https://mlfromscratch.com/activation-functions-explained/
💡 Tags: #neural_network
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🧠 Topic: Initializing neural networks
💠 Link: https://www.deeplearning.ai/ai-notes/initialization/
💡 Tags: #neural_network
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💠 Link: https://www.deeplearning.ai/ai-notes/initialization/
💡 Tags: #neural_network
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deeplearning.ai
AI Notes: Initializing neural networks - deeplearning.ai
In this post, we'll explain how to initialize neural network parameters effectively. Initialization can have a significant impact on convergence in training deep neural networks...
🧠 Topic: Overview of outlier detection
💠 Link: https://towardsdatascience.com/a-brief-overview-of-outlier-detection-techniques-1e0b2c19e561
💡 Tags: #outlier_detection #data_preprocessing
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💠 Link: https://towardsdatascience.com/a-brief-overview-of-outlier-detection-techniques-1e0b2c19e561
💡 Tags: #outlier_detection #data_preprocessing
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Medium
A Brief Overview of Outlier Detection Techniques
What are outliers and how to deal with them?