Top Tweets for #efficientnet
Rotate the ReLU to Sparsify Deep Networks Implicitly
Nancy Nayak, Sheetal Kalyani
https://t.co/x4iLmW6VTO
#efficientnet #regularizer #regularization
Rotate the ReLU to Sparsify Deep Networks Implicitly
Nancy Nayak, Sheetal Kalyani.
Action editor: Ekin Cubuk.
https://t.co/X7iVJPGhGu
#efficientnet #regularizer #regularization
🖥️ImageNet models for Image Classification From #VGG to #EfficientNet, explore a range of architectures fine-tuned for your #DeepLearning needs.
👉👉 VGG16 #VGG19
👉👉 ResNet #SENet #DenseNet
👉👉 InceptionV3
👉👉 MobileNetV2
👉👉 EfficientNetB0 to B7
#AI #ComputerVision #NeuralNetworks #Tech #Innovation #DataScience #AIModeling #Analytics #ImageRecognition #AITechnology #DeepTech #ArtificialIntelligence
🌲 #Forests🌲🆕 Feature Paper Article Series👏
"A Forest Fire Detection System Based on Ensemble Learning", written by Renjie Xu et al.
More details 👉 https://t.co/Bkn1YpvFnt
📗 #forestfiredetection #deeplearning #ensemblelearning #Yolov5 #EfficientDet #EfficientNet
#RecommendedPaper
#HighlyCitedPaper
Study on #SmallSamples #ActiveSonar Target Recognition Based on #DeepLearning https://t.co/FBsfOzhyl8 #mdpijmse via @JMSE_MDPI @MDPIEngineering
@NPUintl
#underwatertargetclassification #EfficientNet #generativeadversarialnetwork
Are you looking for a fun project to get started in the #AI world?? 🕹️🦖
@akshayballal95 guides us through building an AI model to play the Chrome Dino Game using #PyTorch and #EfficientNet!
Check it out! 👇
https://t.co/zhFR9rVVTF
The EfficientNet family is the most powerful CNN architecture to date - reshaping the direction of #DeepLearning research. See #EfficientNet in action on this classification problem from @DataScienceHarp:
https://t.co/naDtyLiT0d
5/#AI
目前普通人注意力只在 #ChatGPT，但我更关注图像生成AI模型
OpenAI开发的图像生成AI有 #MidJourney #StableDiffusion DALL-E #CLIP #ImageGPT #ResNet #EfficientNet 等
搞评：图像生成AI让我们脑海里的想法具象化呈现出来，让画匠失业，却让缺乏绘画技能，却有想象力的人胜任创造性岗位。
📖 Daily Paper
🌲#ForestsHighlyAccessedPapers "A Forest Fire Detection System Based on Ensemble Learning", by Renjie Xu et al. 🎉
👀 Read more here👉
https://t.co/Bkn1YpvFnt
🔥 #forestfiredetection #deeplearning #ensemblelearning #Yolov5 #EfficientDet #EfficientNet
https://t.co/SkrVYKAEpL
New tutorial at DebuggerCafe - Transfer Learning using EfficientNet PyTorch
#PyTorch #DeepLearning #EfficientNet #EfficientNetB0 #TransferLearning #ImageClassification
The acceleration on @graphcoreai's hyperscale IPU-POD systems will allow more #AI innovators to benefit from #EfficientNet models’ high efficiency for real-world implementations at scale.
https://t.co/vHbjj7fBuA
【コンペのお知らせ】
AI×商標：イメージサーチコンペティション（類似商標画像の検出）
■賞金総額:50万円
■期限:1/31
特許庁ホストの画像検索コンペティションです！
80万件におよぶ実際の商標データを扱える貴重な機会です！皆様ぜひご参加ください！
We're getting started in just a bit!
Join @amaarora live for this 📚 Paper Reading group on #EfficientNet
🎥 https://t.co/xYGJuvZtoU
🤝Join our upcoming Paper Reading Group next Tuesday!
Together w/ @amaroa we'll cover the EfficientNet paper.
Based on the 📝 by Tan et al., let's unravel the magic inside EfficientNets & finally look at the details of the EfficientNet Architecture.
🎥https://t.co/xYGJuvZtoU
Data AugmentationでEfficientNetモデルの精度を向上させる https://t.co/koTHyW53UC
ブログ更新しました。#DataAugmentation の #Mixup を使って精度向上させています。#YOLOv5 で検出したお米の良し悪しを #EfficientNet で分類する流れ、どうですかね😎
今日も良いディープラーニングライフを👍
【EfficientNet】切り出したお米の画像を分類してみる https://t.co/zS8XNQHMp9
お米の出来栄えを確認するため #EfficientNet を使ってみました🍚#YOLOv5 で物体検出した米粒のバウンディングボックスを切り出してデータセットとしています。
今日も良いディープラーニングライフを👍
State-of-the-art model #EfficientNet was optimised to be – theoretically – efficient. @graphcoreai researchers have now discovered 3 new ways to make EfficientNet more efficient for practical training and inference.
https://t.co/yXuDz7MXWg
Graphcore Research look at three ways to make #EfficientNet more efficient in practice. The result? A 7x improvement in practical training efficiency and 3.6x improvement in practical inference efficiency on #IPU.
Learn more about their findings: https://t.co/62w0MJJu7q
#EfficientNet is “theoretically efficient” but not always as efficient in practice. @graphcoreai's Research team outline three ways to boost the #computervision model’s practical training and inference efficiency in @TDataScience.
https://t.co/h3Gk1Gi6rg
@dominic_masters
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