🧠 Topic: How to implement a neural network step to step guide using numpy
💠 Link: https://peterroelants.github.io/posts/neural-network-implementation-part01/
💡 Tags: #artificial_intelligence #deep_learning #python
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🧩 More: @Aitive
💠 Link: https://peterroelants.github.io/posts/neural-network-implementation-part01/
💡 Tags: #artificial_intelligence #deep_learning #python
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Peter’s Notes
How to implement a neural network (1/5) - gradient descent
How to implement, and optimize, a linear regression model from scratch using Python and NumPy. The linear regression model will be approached as a minimal regression neural network. The model will be optimized using gradient descent, for which the gradient…
🧠 Topic: Understanding Autograd: 5 Pytorch tensor functions
💠 Link: https://medium.com/@namanphy/understanding-autograd-5-pytorch-tensor-functions-8f47c27dc38
💡 Tags: #python #pytorch
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🧩 More: @Aitive
💠 Link: https://medium.com/@namanphy/understanding-autograd-5-pytorch-tensor-functions-8f47c27dc38
💡 Tags: #python #pytorch
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Medium
Understanding Autograd : 5 pytorch tensor functions
Understanding the Pytorch Autograd module with the help of 5 important tensor functions.
🧠 Topic: Welcome to the UvA Deep Learning Tutorials!
💠 Link: https://uvadlc-notebooks.readthedocs.io/en/latest/index.html
💡 Tags: #deep_learning
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🧩 More: @Aitive
💠 Link: https://uvadlc-notebooks.readthedocs.io/en/latest/index.html
💡 Tags: #deep_learning
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🧠 Topic: 10 Must-read AI Papers
💠 Link: https://blog.crossminds.ai/post/must-read-ai-papers-neural-networks-computer-vision-deep-learning-nlp-machine-learning
💡 Tags: #deep_learning
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💠 Link: https://blog.crossminds.ai/post/must-read-ai-papers-neural-networks-computer-vision-deep-learning-nlp-machine-learning
💡 Tags: #deep_learning
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🧠 Topic: A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
💠 Link: https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
💡 Tags: #deep_learning #gnn
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🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
💡 Tags: #deep_learning #gnn
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Medium
A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
Recently, Graph Neural Network (GNN) has gained increasing popularity in various domains, including social network, knowledge graph…
Mathematical_Analysis_For_Machine_Learning_And_Data_Mining_by_Dan.pdf
5.6 MB
🧠 Topic: Mathematical Analysis for Machine Learning and Data Mining By Dan Simovici
💠 Link: https://www.worldscientific.com/worldscibooks/10.1142/10702
💡 Tags: #mathematical_analysis #machine_learning #book
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💠 Link: https://www.worldscientific.com/worldscibooks/10.1142/10702
💡 Tags: #mathematical_analysis #machine_learning #book
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Mathematics_for_Machine_Learning_by_Marc_Peter_Deisenroth,_A_Aldo.pdf
16.6 MB
🧠 Topic: Mathematics for Machine Learning by Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong
💠 Link: https://mml-book.github.io/
💡 Tags: #mathematics #machine_learning #book
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💠 Link: https://mml-book.github.io/
💡 Tags: #mathematics #machine_learning #book
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Machine_Learning_A_Probabilistic_Perspective_by_Kevin_P_Murphy_z.pdf
25.7 MB
🧠 Topic: Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
💠 Link: https://probml.github.io/pml-book/
💡 Tags: #machine_learning #book
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💠 Link: https://probml.github.io/pml-book/
💡 Tags: #machine_learning #book
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🧠 Topic: Neural Rendering Course (SIGGGRAPH 2021)
💠 Link: https://youtu.be/otly9jcZ0Jg
💡 Tags: #deep_learning #GANs #artificial_intelligence #computer_graphics #neural_rendering
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🧩 More: @Aitive
💠 Link: https://youtu.be/otly9jcZ0Jg
💡 Tags: #deep_learning #GANs #artificial_intelligence #computer_graphics #neural_rendering
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YouTube
Advances in Neural Rendering (SIGGRAPH 2021 Course) Part 1 of 2
This is an updated version of our CVPR 2020 tutorial
(https://www.youtube.com/watch?v=LCTYRqW-ne8).
Much have changed in a year!
For more details, visit https://www.neuralrender.com/
Introduction
0:00:00 Intro & Fundamentals
Generative Adversarial Networks…
(https://www.youtube.com/watch?v=LCTYRqW-ne8).
Much have changed in a year!
For more details, visit https://www.neuralrender.com/
Introduction
0:00:00 Intro & Fundamentals
Generative Adversarial Networks…
🧠 Topic: Task2Vec
💠 Link: https://openaccess.thecvf.com/content_ICCV_2019/papers/Achille_Task2Vec_Task_Embedding_for_Meta-Learning_ICCV_2019_paper.pdf
💡 Tags: #meta_learning #deep_learning
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🧩 More: @Aitive
💠 Link: https://openaccess.thecvf.com/content_ICCV_2019/papers/Achille_Task2Vec_Task_Embedding_for_Meta-Learning_ICCV_2019_paper.pdf
💡 Tags: #meta_learning #deep_learning
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🧠 Topic: Middlesex University Dubai MSc Data Science course
💠 Link: https://github.com/IvanReznikov/mdx-msc-data-science
💡 Tags: #machine_learning #deep_learning
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🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/mdx-msc-data-science
💡 Tags: #machine_learning #deep_learning
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GitHub
GitHub - IvanReznikov/mdx-msc-data-science: Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning…
Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov - IvanReznikov/mdx-msc-data-science
🧠 Topic: Data Science 4 Life Science: Chemistry lectures
💠 Link: https://github.com/IvanReznikov/ds4ls-public
💡 Tags: #machine_learning #deep_learning #chemistry
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🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/ds4ls-public
💡 Tags: #machine_learning #deep_learning #chemistry
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GitHub
GitHub - IvanReznikov/ds4ls-public
Contribute to IvanReznikov/ds4ls-public development by creating an account on GitHub.
🧠 Topic: Deep Learning Nanodegree Foundation
💠 Link: https://github.com/IvanReznikov/deep-learning
💡 Tags: #machine_learning #deep_learning ➖➖➖➖➖➖➖
🧩 More: @Aitive
💠 Link: https://github.com/IvanReznikov/deep-learning
💡 Tags: #machine_learning #deep_learning ➖➖➖➖➖➖➖
🧩 More: @Aitive
10 Techniques to deal with Imbalanced Data.pdf
369.7 KB
🧠 Topic: 10 Techniques to deal with Imbalanced Data
💡 Tags: #machine_learning #deep_learning
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💡 Tags: #machine_learning #deep_learning
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🧠 Topic: TensorFlow on Databricks
💠 Link: https://databricks.com/tensorflow/getting-started-with-tensorflow-on-databricks
💡 Tags: #tensor_flow #deep_learning
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💠 Link: https://databricks.com/tensorflow/getting-started-with-tensorflow-on-databricks
💡 Tags: #tensor_flow #deep_learning
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Databricks
The Data and AI Company — Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.
🧠 Topic: Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
💠 Link: https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
💡 Tags: #seq2seq #deep_learning
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💠 Link: https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
💡 Tags: #seq2seq #deep_learning
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jalammar.github.io
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
Translations: Chinese (Simplified), French, Japanese, Korean, Persian, Russian, Turkish, Uzbek
Watch: MIT’s Deep Learning State of the Art lecture referencing this post
May 25th update: New graphics (RNN animation, word embedding graph), color coding, elaborated…
Watch: MIT’s Deep Learning State of the Art lecture referencing this post
May 25th update: New graphics (RNN animation, word embedding graph), color coding, elaborated…
🧠 Topic: Applied Machine Learning in Python
💠 Link: https://amueller.github.io/aml/00-introduction/00-introduction.html
💡 Tags: #machine_learning
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🧩 More: @Aitive
💠 Link: https://amueller.github.io/aml/00-introduction/00-introduction.html
💡 Tags: #machine_learning
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🧠 Topic: WRNs — Wide Residual Networks
💠 Link: https://towardsdatascience.com/review-wrns-wide-residual-networks-image-classification-d3feb3fb2004
💡 Tags: #machine_learning #computer_vision
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🧩 More: @Aitive
💠 Link: https://towardsdatascience.com/review-wrns-wide-residual-networks-image-classification-d3feb3fb2004
💡 Tags: #machine_learning #computer_vision
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Medium
Review: WRNs — Wide Residual Networks (Image Classification)
This time, WRNs (Wide Residual Networks) is presented. By widening Residual Network (ResNet), the network can be shallower with the same…
🧠 Topic: Open-Access Neuroscience Electronic Textbook
💠 Link: https://nba.uth.tmc.edu/neuroscience/
💡 Tags: #neuroscience
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🧩 More: @Aitive
💠 Link: https://nba.uth.tmc.edu/neuroscience/
💡 Tags: #neuroscience
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🧠 Topic: BAYESIAN META-LEARNING IS ALL YOU NEED
💠 Link: https://jameskle.com/writes/bayesian-meta-learning-is-all-you-need
💡 Tags: #deep_learning #meta_learning
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💠 Link: https://jameskle.com/writes/bayesian-meta-learning-is-all-you-need
💡 Tags: #deep_learning #meta_learning
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James Le
Bayesian Meta-Learning Is All You Need — James Le
This blog post is my attempt to demystify the probabilistic view of meta-learning and answer these key questions: Why is the deterministic view of meta-learning not sufficient? What is the variational inference? How can we design neural-based Bayesian…