#imageclassification kết quả tìm kiếm

CNNs vs. Vision Transformers vs. Hybrids: Which image classification model reigns supreme? Our latest blog breaks down the pros & cons to help you choose the right architecture! buff.ly/iTZyH5O #ImageClassification #DeepLearning #CNN

Train an Image Classification ML Model in Visual Studio | Flowers Dataset + API Integration #mlnet, #imageclassification #visualstudio #machinelearning #flowerdataset #dotnet #apiintegration #consoleapp #mltutorial #csharp youtu.be/ExPjoUnLRyY?si…

🔥 CNNs = your image classification powerhouse! From faces to digits, they decode visual patterns like a pro. Let’s crush it with deep learning! 🔗linkedin.com/in/octogenex/r… 🔗instagram.com/ds_with_octoge… #AI365 #CNNs #ImageClassification #ML

📢 Paper Alert! “Frequency-Aware Residual Networks with Masked Dual-Path Convolution for #ImageClassification” 🔗mdpi.com/2079-9292/14/1… Shares a masked dual-path convolution architecture that is frequency-aware, improving feature extraction and accuracy in image tasks.

I just published a complete step-by-step guide on building an Alien vs Predator image classifier using ResNet50 with TensorFlow. Read the full post here: eranfeit.net/alien-vs-preda… Enjoy Eran #Python #ImageClassification #tensorflow #ResNet50

🔥 Read our Highly Cited Paper 📚 Unraveling the Impact of Class Imbalance on #DeepLearning Models for Medical #ImageClassification 🔗 mdpi.com/2076-3417/14/8… 👨‍🔬 Carlos J. Hellín et al. 🏫 @UAHes / @LivUni #imageanalysis #artificialintelligence #lungpathologies

Generative AI for Beginners 🎬 18 Lesson Series 🏃‍♂ Self-paced Instructor👨‍🏫: Microsoft Cloud Advocates 🔗Course Link learn.microsoft.com/en-us/shows/ge… #imageclassification #computervision ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ #deprem #bb27 #デレステ10thツアー千秋楽_day2 #JoongDunk

🔥 Read our Paper 📚 φunit: A Lightweight Module for Feature Fusion Based on Their Dimensions 🔗 mdpi.com/2076-3417/13/2… 👨‍🔬 by Zhengyu Long et al. #imageclassification #lightweightmodel

Day 4 of 40🚀 - Finished up my image classification project. - Learnt a bit about communicating your project as an ML engineer(to fellow teammates and then to the public). #40daysofcode #imageclassification #ai

Day 3 of 40🚀 - Had to fit my model again 'cause runtime disconnected while training it the last time. - Made predictions on the test data. (both took about an hour+) - Learnt a bit about model architecture and activation functions. #40daysofcode #imageclassification #ai

Day 2 of 40 🚀. Did very little coding today cause I couldn't access Google's colab GPU. I don't know if it's a network issue. Learnt on layer freezing of layers in tensor flow and why we freeze layers. #40daysofcode #imageclassification #ai

Day 1 of 40🚀. - I continued with the image classification project I am currently working on. Learnt how to save and load a keras tensorflow model. - Fit the model(MobileNetv2) on 10,000+ images which took a lot of time to execute. #40dayofcode #imageclassification #ai

Olympic Sports Image Classification tutorial , with TensorFlow & EfficientNetV2 mages You can find link for the code in the blog : eranfeit.net/olympic-sports… Watch the full tutorial here : youtu.be/wQgGIsmGpwo Enjoy Eran #ImageClassification #Efficientnet #EfficientNetV2

🛰️🖼️🛰️ #Hyperspectral #ImageClassification Promotion Using #Clustering Inspired #ActiveLearning ✍️ Chen Ding et al. 📎 brnw.ch/21wNyS0

#LatestPaper 📢Automated Workflow for High-Resolution 4D #Vegetation Monitoring Using Stereo Vision by Martin Kobe, Melanie Elias, Ines Merbach, Martin Schädler, Jan Bumberger, Marion Pause and Hannes Mollenhauer mdpi.com/2072-4292/16/3… #imageclassification

👉👉 Spectral Swin #TransformerNetwork for #Hyperspectral #ImageClassification ✍️ Baisen Liu et al. 📎 brnw.ch/21wNpZR

🛰️🛰️🖼️ Active Learning-Driven Siamese Network for #Hyperspectral #ImageClassification ✍️ Xiyao Di et al. 🔗 brnw.ch/21wOn4x

🛰️🖼️🛰️ The Influence of Image #Degradation on #Hyperspectral #ImageClassification ✍️ Congyu Li et al. 📎 mdpi.com/2072-4292/14/2…

🛰️👉 Information Leakage in #DeepLearning-Based #Hyperspectral #ImageClassification: A Survey ✍️ Hao Feng et al. 📎 brnw.ch/21wNqro

#remotesensing 📢High-Resolution #SAR #ImageClassification Using Multi-Scale Deep Feature Fusion and Covariance Pooling Manifold Network by Wenkai Liang, Yan Wu, Ming Li, Yice Cao and Xin Hu 👉Read the full article: mdpi.com/2072-4292/13/2…

✨#Hyperspectral #ImageClassification via Multi-Feature-Based Correlation Adaptive Representation by Guichi Liu, Lei Gao and Lin Qi mdpi.com/2072-4292/13/7… #imageprocessing

#mostdownloaded 📢 Two-Stream Swin Transformer with Differentiable Sobel Operator for #RemoteSensing #ImageClassification by Siyuan Hao, Bin Wu, Kun Zhao, Yuanxin Ye, and Wei Wang 🔗 Read the full article: lnkd.in/davJtNkN

🛰️🌍🖼️ Hyper-#LGNet: Coupling Local and Global Features for #Hyperspectral #ImageClassification ✍️ Tianxiang Zhang et al. 📎 mdpi.com/2072-4292/14/2…

Multiscale Feature Aggregation Capsule Neural Network for #Hyperspectral Remote Sensing #ImageClassification by Runmin Lei et al. 👉Access the full paper: brnw.ch/21wLXgQ

📢Dual Homogeneous Patches-Based Band Selection Methodology for #HyperspectralClassification by Xianyue Wang, Longxia Qian, Mei Hong and Yifan Liu t.ly/YpNmo #imageclassification

A Dual Multi-Head Contextual Attention Network for #Hyperspectral #ImageClassification by Miaomiao Liang et al. 🔗Read the paper: brnw.ch/21wLYjp

🌱Day 5 of #100daysofcode : ✨Learned about convolutions. Also got to experimented with filters and max pooling and was able to visualize their impact. #DeepLearning #ImageClassification #python #datascience #machinelearning #learning #GitHub #MondayMotivation #AI #AIart

#AgricultureMdpi – Editor's Choice Article 📌 Evaluation of Convolutional Neural Networks’ Hyperparameters with Transfer Learning to Determine Sorting of Ripe Medjool Dates by Blanca Dalila Pérez-Pérez et al. Link: doi.org/10.3390/agricu… #imageclassification

An Enhanced Spectral Fusion 3D #CNN Model for #Hyperspectral #ImageClassification by Junbo Zhou et al. Read the full paper: brnw.ch/21wLHLY

#AgricultureMdpi - 2022 High Cited Paper Title: Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers Authors: Xiaopeng Li et al. Link: doi.org/10.3390/agricu… #identificationofapplediseases #imageclassification

🔥 Read our Paper 📚 φunit: A Lightweight Module for Feature Fusion Based on Their Dimensions 🔗 mdpi.com/2076-3417/13/2… 👨‍🔬 by Zhengyu Long et al. #imageclassification #lightweightmodel

#AgricultureMdpi – Editor's Choice Article Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers by Xiaopeng Li et al. Link: doi.org/10.3390/agricu… #identificationofapplediseases #imageclassification #lightweightmodel

#AgricultureMdpi - 2022 Highly Cited Paper 📍 ADDLight: An Energy-Saving Adder Neural Network for Cucumber Disease Classification Authors: Chen Liu et al. Link: doi.org/10.3390/agricu… #cucumberdiseasediagnosis #imageclassification #lowcalculationenergyconsumption