Topic: "batchnormalization"
sharmaroshan/Weed-Detection
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 9
fk128/batchnorm-transferlearning
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. TL;DR: Fine-tuning only the batch norm affine parameters leads to similar performance as to fine-tuning all of the model parameters
Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0
Arijit-datascience/CNN_BatchNormalization_Regularization
MNIST Digit Prediction using Batch Normalization, Group Normalization, Layer Normalization and L1-L2 Regularizations
Language: Jupyter Notebook - Size: 705 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
jahongir7174/FLOPS-pt
PyTorch module FLOPS counter
Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1
Aadi-stack/Image_classificationUsingCNN
Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.
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EPSOFT/Keras-Convolutianl-Networks
Keras Convolutianl Networks
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Aryan22163/Skin_cancer_detection
Cancer detection using CNN leverages deep learning to automatically identify cancerous patterns in medical images with high accuracy.
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
prathamp25/Regularisation-in-VAE-Model
Applyed regularization techniques to improvise the performance of VAE Model such as L1/L2 Regularization (Weight Decay), Dropout, Batch Normalization, Beta-VAE (Modified KL Divergence Term), Data Augmentation
Language: Jupyter Notebook - Size: 317 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
SunnyBibyan/Image-Classification
This project implements a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, which consists of 60,000 32x32 color images across 10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck.
Language: Jupyter Notebook - Size: 113 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
harmanveer-2546/Mystery-Planet
Exoplanet Hunting in Deep Space.
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HarikrishnanK9/Tomato_Leaf_Disease_Detection
Tomato Leaf Disease Detection:Deep Learning Project
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slothengineer/DeepLearning-Concepts
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pyserve/Digit_Recognition_CNN
Model Optimization using Batch Normalization and Dropout Techniques
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jaunel/Live-detection-of-Sunglasses
Developed CNN model with 93% validation accuracy using techniques like Dropouts & Batch Normalization. Using haar cascade of Computer Vision It is then used to detect sunglasses on real time basis
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x1ew/Multi-class-Weather
This repository contains my project for computer vision.
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x1ew/Students-Academic-Performance
Deep learning Simple models
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iamjadhav/enpm809k
Fundamentals of Artificial Intelligence and Deep Learning Frameworks
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engrfaisal90/NTHU-Deep-Learning-Course-2019
Developing deep learning models with only numpy and panda and without using high level libraries such as Tensorflow, Keras and PyTorch
Language: Python - Size: 8.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Bless1004/Deep-Learning
Deep Learning models
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UditSharma9999/Batch-Normalization-with-tensorflow
ba
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abrbird/NNNumpy
Neural networks
Language: Python - Size: 37.5 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
ruqoyyasadiq/deep_learning-MLP-networks
As part of a bigger work, this work focuses on implementing MLPs and Batch Normalization with Numpy and Python only.
Language: Python - Size: 27.9 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
KwokHing/TF2-Cifar10-CNN-Demo
Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
ManinderpreetPuri/Lesion-Dataset---Deep-Learning-project
Uses deep learning in Python with Keras, Pandas, Numpy, Tensorflow, ScIkit-Learn libraries.
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
