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Search results for keras regularization
keras
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regularization
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19 search results found
Neural Structured Learning
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972
Training neural models with structured signals.
3d Mri Brain Tumor Segmentation Using Autoencoder Regularization
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243
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Keras Multi Head
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196
A wrapper layer for stacking layers horizontally
Adamw_keras
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95
AdamW optimizer for Keras
Adamw And Sgdw
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67
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Getting Started With Tensorflow 2
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25
Understand Tensorflow 2.0 step by step. Well Written and Commented for Anyone to learn tf2. Check out the Markdowns for every folder.
Spotify_song_recommender
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24
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Neural Networks And Deep Learning
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9
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Eigenvalue Decay Regularizer For Keras
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8
Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.
Shake Shake Keras
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8
Keras implementation of Shake-Shake regularization
Keras Targeted Dropout
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8
Targeted dropout implemented in Keras
Variational Autoencoder For Novelty Detection
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6
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
Dynamical Isometry From Orthogonality Neural Nets
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6
Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.
Dlgeneralization
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5
My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization" and do something similar on NLP
Deep_learning_keras
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5
notebooks of learning Deep learning by Keras
Keras Dropblock
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5
DropBlock:A regularization method for convolutional networks
Dropblock Keras Implementation
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5
Paper Reproduction: "DropBlock: A regularization method for convolutional networks"
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1-19 of 19 search results
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