Interactive Visual Machine Learning Demos.
machine-learning deep-learning svm style-transfer pca autoencoder logistic-regression visualizations mlp-classifier tensorflow-js vanishing-gradient
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Mar 10, 2023 - CSS
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vanishing-gradient
Here are 18 public repositories matching this topic...
[EMNLP'20][Findings] Official Repository for the paper "Why and when should you pool? Analyzing Pooling in Recurrent Architectures."
lstm sentiment-classification positional-bias vanishing-gradient emnlp2020 recurrent-architectures analyzing-pooling
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Nov 20, 2020 - Python
Deep Neural Networks for music genre classification as a proxy for multiple analytical studies
deep-neural-networks deep-learning cnn pytorch resnet convolutional-neural-networks residual-neural-network vanishing-gradient
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Feb 3, 2023 - Jupyter Notebook
Pipeline for solving the Vanishing Gradient problem in Deep Learning. Implements methods such as ReLU, BatchNorm, Skip Connection, and gradient optimization to improve deep model training.
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Jan 31, 2025 - Jupyter Notebook
Multilayer Perceptron GAN, and two Convolutional Neural Network GANs for MNIST and CIFAR.
generative-adversarial-network mnist convolutional-neural-network cifar10 mode-collapse vanishing-gradient model-convergence
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Mar 22, 2021 - Python
This repository helps in understanding vanishing gradient problem with visualization
machine-learning neural-networks deeplearning backpropagation sigmoid-function relu-activation vanishing-gradient
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Aug 29, 2022 - Jupyter Notebook
Adaptive-saturated RNN: Remember more with less instability
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Apr 29, 2023 - Python
Code repository for my CSU master's research on dead ReLU's
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Aug 10, 2023 - Python
This pdf shows some methods to fine tune the hyperparameters of a Neural Network to increase it's performance. It also puts light on some of the common problems related to Neural Networks along with their solutions.
neural-network neurons hyperparameter-tuning epoch fine-tuning batch-size vanishing-gradient exploding-gradient hidden-layers-
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Aug 22, 2024 - Jupyter Notebook
Python codes for the experiment about LSTM Inefficiency in Long-Term Dependencies Regression Problems
regression recurrent-neural-networks lstm classification rnn lstm-neural-networks vanishing-gradient long-term-dependency
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Dec 12, 2024 - Jupyter Notebook
The vanishing gradient problem is a well-known issue in training recurrent neural networks (RNNs). It occurs when gradients (derivatives of the loss with respect to the network's parameters) become too small as they are backpropagated through the network during training.
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Oct 21, 2023
Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.
vgg batch-normalization convolutional-neural-networks cifar100 vanishing-gradient residual-connections exploding-gradient
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Dec 9, 2021 - TeX
This repository is based on the discussion about the Vanishing Gradient Problem. It explains some of the causes of this issue and provides solutions to help mitigate it.
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Jul 15, 2024 - Jupyter Notebook
Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"
deep-neural-networks deep-learning gradient-descent backpropagation predictive-coding local-learning saddle-point loss-landscape vanishing-gradient inference-learning
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Aug 29, 2025 - Jupyter Notebook
I'll try to explain through the outcomes of Vanishing Gradient Problem
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May 28, 2021 - Jupyter Notebook
Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.
vgg batch-normalization convolutional-neural-networks cifar100 vanishing-gradient residual-connections exploding-gradient
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Dec 9, 2021 - Python
A comparative study of RNN and LSTM models for sentiment analysis on the IMDB movie reviews dataset. This project analyzes model performance, vanishing gradient behavior, and the ability to capture long-term dependencies in text classification.
nlp deep-learning sentiment-analysis text-classification lstm neural-networks rnn imdb-dataset sequence-modeling vanishing-gradient
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Nov 24, 2025 - Jupyter Notebook
Everything about Artificial Neural Network from Basic to Adavnced
memoization optimizer hyperparameters batch-normalization logistic-regression perceptron gradient-descent backpropagation weight-initialization loss-functions feature-scaling mnist-handwriting-recognition early-stopping activation-function vanishing-gradient dropout-layers reguarization expo-moving-average
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Oct 16, 2024 - Jupyter Notebook
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