🧠 Topic: Complete python 3 tutorial notebooks
💠 Link: https://github.com/Pierian-Data/Complete-Python-3-Bootcamp
💡 Tags: #python
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💠 Link: https://github.com/Pierian-Data/Complete-Python-3-Bootcamp
💡 Tags: #python
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GitHub
GitHub - Pierian-Data/Complete-Python-3-Bootcamp: Course Files for Complete Python 3 Bootcamp Course on Udemy
Course Files for Complete Python 3 Bootcamp Course on Udemy - Pierian-Data/Complete-Python-3-Bootcamp
🧠 Topic: Python Numpy Tutorial (with Jupyter and Colab)
💠 Link: https://cs231n.github.io/python-numpy-tutorial/#:~:text=A%20numpy%20array%20is%20a,the%20array%20along%20each%20dimension.
💡 Tags: #python #numpy
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💠 Link: https://cs231n.github.io/python-numpy-tutorial/#:~:text=A%20numpy%20array%20is%20a,the%20array%20along%20each%20dimension.
💡 Tags: #python #numpy
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cs231n.github.io
Python Numpy Tutorial (with Jupyter and Colab)
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
🧠 Topic: Temporal Convolutional Networks, The Next Revolution for Time-Series?
💠 Link: https://towardsdatascience.com/temporal-convolutional-networks-the-next-revolution-for-time-series-8990af826567
💡 Tags: #cnn
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💠 Link: https://towardsdatascience.com/temporal-convolutional-networks-the-next-revolution-for-time-series-8990af826567
💡 Tags: #cnn
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Medium
Temporal Convolutional Networks, The Next Revolution for Time-Series?
This post reviews the latest innovations that include the TCN in their solutions. We first present a case study of motion detection and…
🧠 Topic: Learning to learn gradient descent by gradient descent: a paper review
💠 Link: https://medium.com/dataseries/learning-to-learn-gradient-descent-by-gradient-descent-a-paper-review-44292f2fb1ff
💡 Tags: #meta_learning
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💠 Link: https://medium.com/dataseries/learning-to-learn-gradient-descent-by-gradient-descent-a-paper-review-44292f2fb1ff
💡 Tags: #meta_learning
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Medium
Learning to learn gradient descent by gradient descent: a paper review
A easy to understand review of the major concepts introduced in the paper “Learning to learn by gradient descent by gradient descent”
🧠 Topic: Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017
💠 Link: http://videolectures.net/deeplearning2017_montreal/
💡 Tags: #deep_learning #reinforcement_learning #rl
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💠 Link: http://videolectures.net/deeplearning2017_montreal/
💡 Tags: #deep_learning #reinforcement_learning #rl
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videolectures.net
Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017
Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many…
🧠 Topic: Resampling strategies for imbalanced datasets
💠 Link: https://www.kaggle.com/rafjaa/resampling-strategies-for-imbalanced-datasets
💡 Tags: #imbalance_data #preprocessing
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💠 Link: https://www.kaggle.com/rafjaa/resampling-strategies-for-imbalanced-datasets
💡 Tags: #imbalance_data #preprocessing
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Kaggle
Resampling strategies for imbalanced datasets
Explore and run machine learning code with Kaggle Notebooks | Using data from Porto Seguro’s Safe Driver Prediction
🧠 Topic: Computational Neuroscience
💠 Link: https://www.youtube.com/playlist?list=PLUGg7IB_KBdhRNsBxV-yevlJTr2NmC5LY
💡 Tags: #neuroscience #computer_vision
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💠 Link: https://www.youtube.com/playlist?list=PLUGg7IB_KBdhRNsBxV-yevlJTr2NmC5LY
💡 Tags: #neuroscience #computer_vision
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YouTube
Computational Neuroscience
Share your videos with friends, family, and the world
🧠 Topic: Canonical Computation in Brains and Machines
💠 Link: https://gias.nyu.edu/canonical-computation-brains-machines-2018/
💡 Tags: #neuroscience #artificial_intelligence
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💠 Link: https://gias.nyu.edu/canonical-computation-brains-machines-2018/
💡 Tags: #neuroscience #artificial_intelligence
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Global Institute for Advanced Study
Unnoscriptd
The fields of neuroscience and AI have undergone significant transformation over the last ten years, thanks in large part to a rapid expansion in technological capacities that are permitting ever more…
🧠 Topic: Tutorial on Variational Autoencoders
💠 Link: https://arxiv.org/pdf/1606.05908.pdf
💡 Tags: #deep_learning
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💠 Link: https://arxiv.org/pdf/1606.05908.pdf
💡 Tags: #deep_learning
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🧠 Topic: Understanding Conditional Variational Autoencoders
💠 Link: https://towardsdatascience.com/understanding-conditional-variational-autoencoders-cd62b4f57bf8
💡 Tags: #deep_learning
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💠 Link: https://towardsdatascience.com/understanding-conditional-variational-autoencoders-cd62b4f57bf8
💡 Tags: #deep_learning
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Medium
Understanding Conditional Variational Autoencoders
The variational autoencoder or VAE is a directed graphical generative model which has obtained excellent results and is among the state of…
🧠 Topic: Spiking Neural Networks for More Efficient AI Algorithms
💠 Link: https://www.youtube.com/watch?v=PeW-TN3P1hk&ab_channel=WaterlooArtificialIntelligenceInstitute
💡 Tags: #neuroscience #artificial_intelligence
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💠 Link: https://www.youtube.com/watch?v=PeW-TN3P1hk&ab_channel=WaterlooArtificialIntelligenceInstitute
💡 Tags: #neuroscience #artificial_intelligence
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YouTube
Spiking Neural Networks for More Efficient AI Algorithms
Spiking neural networks (SNNs) have received little attention from the AI community, although they compute in a fundamentally different -- and more biologically inspired -- manner than standard artificial neural networks (ANNs). This can be partially explained…
🧠 Topic: Waterloo.ai Seminar Series
💠 Link: https://www.youtube.com/playlist?list=PLVDo9wSuPi4EstMItO5rIqif1H-1VW-3w
💡 Tags: #neuroscience #artificial_intelligence
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💠 Link: https://www.youtube.com/playlist?list=PLVDo9wSuPi4EstMItO5rIqif1H-1VW-3w
💡 Tags: #neuroscience #artificial_intelligence
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YouTube
Waterloo.ai Seminar Series - YouTube
🧠 Topic: Intuitive Understanding of Attention Mechanism in Deep Learning
💠 Link: https://towardsdatascience.com/intuitive-understanding-of-attention-mechanism-in-deep-learning-6c9482aecf4f
💡 Tags: #deep_learning
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💠 Link: https://towardsdatascience.com/intuitive-understanding-of-attention-mechanism-in-deep-learning-6c9482aecf4f
💡 Tags: #deep_learning
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Medium
Intuitive Understanding of Attention Mechanism in Deep Learning
A TensorFlow Implementation of Neural Machine Translation with Attention
🧠 Topic: Illustrated: Self-Attention
💠 Link: https://towardsdatascience.com/illustrated-self-attention-2d627e33b20a
💡 Tags: #deep_learning
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💠 Link: https://towardsdatascience.com/illustrated-self-attention-2d627e33b20a
💡 Tags: #deep_learning
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Towards Data Science
Deep Dive into Self-Attention by Hand✍︎ | Towards Data Science
Explore the intricacies of the attention mechanism responsible for fueling the transformers
🧠 Topic: How Transformers Work
💠 Link: https://towardsdatascience.com/transformers-141e32e69591
💡 Tags: #deep_learning #transformer
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💠 Link: https://towardsdatascience.com/transformers-141e32e69591
💡 Tags: #deep_learning #transformer
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Medium
How Transformers Work
Transformers are a type of neural network architecture that have been gaining popularity. Transformers were recently used by OpenAI in…
🧠 Topic: Meta-Reinforcement Learning
💠 Link: https://blog.floydhub.com/meta-rl/
💡 Tags: #meta_learning #neuroscience #reinforcement_learning
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💠 Link: https://blog.floydhub.com/meta-rl/
💡 Tags: #meta_learning #neuroscience #reinforcement_learning
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🧠 Topic: How to Improve Your Network Performance by Using Curriculum Learning
💠 Link: https://towardsdatascience.com/how-to-improve-your-network-performance-by-using-curriculum-learning-3471705efab4#:~:text=Curriculum%20learning%20describes%20a%20type,gradually%20increase%20the%20task%20difficulty.&text=When%20we%20now%20look%20at,harder%20to%20learn%20than%20others
💡 Tags: #deep_learning
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💠 Link: https://towardsdatascience.com/how-to-improve-your-network-performance-by-using-curriculum-learning-3471705efab4#:~:text=Curriculum%20learning%20describes%20a%20type,gradually%20increase%20the%20task%20difficulty.&text=When%20we%20now%20look%20at,harder%20to%20learn%20than%20others
💡 Tags: #deep_learning
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Medium
How to Improve Your Network Performance by Using Curriculum Learning
Starting to train your network on easy task before introducing harder tasks can improve performance significantly.
🧠 Topic: Role of the prefrontal cortex
💠 Link: https://www.goodtherapy.org/blog/psychpedia/prefrontal-cortex
💡 Tags: #neuroscience
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💠 Link: https://www.goodtherapy.org/blog/psychpedia/prefrontal-cortex
💡 Tags: #neuroscience
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GoodTherapy.org Therapy Blog
Prefrontal Cortex - GoodTherapy.org Therapy Blog
Prefrontal cortex The prefrontal cortex is a part of the brain located at the front of the frontal lobe. It is implicated in a variety of complex behaviors, including planning, and greatly contributes to personality development. Role of the prefrontal cortex…
🧠 Topic: Neocortex
💠 Link: https://human-memory.net/neocortex/
💡 Tags: #neuroscience
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💠 Link: https://human-memory.net/neocortex/
💡 Tags: #neuroscience
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The Human Memory
Neocortex | Functions, Anatomical Structure, Facts & Summary
The neocortex is a Latin for “new rind” or “new bark.”The neocortex is a complex structure – dozens of cells, intricate connectivity patterns, and multiple layers.
🧠 Topic: dopamine system
💠 Link: https://psychscenehub.com/psychinsights/the-dopamine-hypothesis-of-schizophrenia/
💡 Tags: #neuroscience
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💠 Link: https://psychscenehub.com/psychinsights/the-dopamine-hypothesis-of-schizophrenia/
💡 Tags: #neuroscience
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Psych Scene Hub
Dopamine Hypothesis of Schizophrenia: Neurobiology and Clinical Insights
Understand the dopamine hypothesis of schizophrenia, its neurobiological basis, clinical implications, and key dopamine pathways involved in psychosis.
🧠 Topic: All You Need To Know For Your First Ever Project in PyTorch !
💠 Link: https://medium.com/@nikhilamunipalli/starter-pack-for-deep-learning-in-pytorch-for-extreme-beginners-by-a-beginner-330f3fdefcc4
💡 Tags: #pytorch
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💠 Link: https://medium.com/@nikhilamunipalli/starter-pack-for-deep-learning-in-pytorch-for-extreme-beginners-by-a-beginner-330f3fdefcc4
💡 Tags: #pytorch
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Medium
All You Need To Know For Your First Ever Project in PyTorch !
Welcome deep learning learners! This article is a kick start for your first ever deep learning model in pytorch.