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Search results for jupyter notebook backpropagation
backpropagation
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38 search results found
Lectures Labs
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1,309
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Deep Learning From Scratch
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250
Six snippets of code that made deep learning what it is today.
Slayerpytorch
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250
PyTorch implementation of SLAYER for training Spiking Neural Networks
Understanding Nn
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222
Tensorflow tutorial for various Deep Neural Network visualization techniques
Mirror
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221
Visualisation tool for CNNs in pytorch
Neural Network From Scratch
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211
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Deeplearning
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120
Deep Learning From Scratch
Visual Attribution
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117
Pytorch Implementation of recent visual attribution methods for model interpretability
Deep Learning Coursera
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102
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Notebooks
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101
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Anogan
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56
anomaly detection with GAN
Machine Learning In Python Workshop
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54
My workshop on machine learning using python language to implement different algorithms
Pytorch Dann
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49
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Grad Cam Pytorch
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44
Class Activation Map(CAM) with Pytorch
Bipropagation
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41
Ml Simple Works
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40
Coursera Machine Learning In Python
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39
machine learning algorithms in python from scratch
Nn_interpretability
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37
Pytorch implementation of various neural network interpretability methods
Cs231n
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36
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
S4nn
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24
Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Journal of Neural Systems (2020), doi: 10.1142/S0129065720500276
Newbie_neural_network_practice
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21
适合新手学习的神经网络实践教程+代码。a awesome neural network practice project for newbie.我的CSDN博客:
Deeplearning
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17
deeplearning tour
Coursera Imperial College Of London Mathematics For Machine Learning Specialization
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16
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
Whitebox Part1
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16
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Cs231n Study Schedule
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14
cs231n learning notes
Quantum Backpropagation
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12
Simple demo showcasing baseline logic for BaQProp to learn "quantum data" [outdated]
Ml Mipt
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10
Things I taught at MIPT Data Mining In Action in Spring 2016
Ai
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9
人工智能视觉方向学习笔记整理
Deeplearning.ai Deep Learning Specialization
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9
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Dl Playground
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9
Exercises & challenges for aspiring deep learners
Beginner Track Spring19
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7
repo for beginner track spring 19.
Dlbook
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7
Repository for the free online book Oddly Satisfying Deep Learning from Scratch (link below!)
Deep Learning For Professionals
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6
For the Galvanize Deep Learning Evening Course 9/18
Machine Learning Examples
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6
Backpropagation Neural Network For Multivariate Time Series Forecasting
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5
Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)
Neural Texture Transfer
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5
Apply any texture to an image without changing the colors of its content
Grokking Deep Learning Notebooks
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5
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
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