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Search results for tensorflow regularization
regularization
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tensorflow
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41 search results found
Morph Net
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1,010
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Neural Structured Learning
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972
Training neural models with structured signals.
Stylegan2 Tensorflow 2.0
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419
StyleGAN 2 in Tensorflow 2.0
Dmn Tensorflow
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235
Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow
Hessian_penalty
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188
Code for the Hessian Penalty: A Weak Prior for Unsupervised Disentanglement (ECCV 2020 Spotlight)
Tensorflow Cheatsheet
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143
My personal reference for Tensorflow
Robustautoencoder
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110
A combination of Autoencoder and Robust PCA
Adamw_keras
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95
AdamW optimizer for Keras
Facial Keypoints Detection
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70
Iss Rnns
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62
Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
Dropneuron
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58
DropNeuron: Simplifying the Structure of Deep Neural Networks
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Spectral_representations_for_convolutional_neural_networks
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34
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.
Traj Pred Irl
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23
Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV
Stux Dnn
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21
Run-time trojan attack on neural networks
3d Brain Tumor Segmentation
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19
Volumetric MRI brain tumor segmentation using autoencoder regularization
Coursera Deeplearning.ai Stanford University Machine Learning Specialization
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18
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
Multi Label Classification
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18
基于tf.keras的多标签多分类模型
Large Scale Ot Mapping Tf
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16
Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
Deep Learning Notes
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15
Deep Learning Coursera Specialization • Lecture Notes • Lab Assignments
Wgan Lp Tensorflow
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13
Reproduction code for WGAN-LP
Traffic Sign Cnn
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12
Deep learning network for traffic sign image classification
Manifold_mixup
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12
Tensorflow implementation of the Manifold Mixup machine learning research paper
Carnd Semantic Segmentation
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10
CarND Semantic Segmentation
Shearlet Transform Tensorflow
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10
This is an implementation of Shearlet Transform (ST) for light field reconstruction using TensorFlow 1.x.
Tfcheatsheet
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9
Tensorflow cheat sheet for reference
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
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Actor Critic Algs On Tensorflow
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8
Distributed RL implementations
Tensorflow Rl
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8
텐서플로우 강화학습 튜토리얼 : AlphaGo부터 스타크래프트2 강화학습 에이전트 만들어보기
Dmn Chatbot
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7
Chat bot using Dynamic Memory Network
Shake Shake Tensorflow
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7
Simple Code Implementation of "Shake-Shake Regularization using TensorFlow.
Regularized Rbm
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7
A regularized version of RBM for unsupervised feature selection.
Deep Learning
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7
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.
Fisher Rao Regularization
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6
Applied Machine Learning
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6
Applied Machine Learning
Is2019 Vae
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5
Tensorflow and kaldi implementation of our paper "VAE-based regularization for deep speaker embedding"
Tensorflow
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5
Deep-Learning using TensorFlow (Udacity\Google Course)
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1-41 of 41 search results
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