#efficientnet search results
#EfficientNet has achieved state of the art accuracy on #ImageNet while being 8.4x smaller and 6.1x faster!!
Nice example of #UNet + #EfficientNet using @TensorFlow 2.2 and tf.keras:
UNet with EfficientNet encoder - @tensorflow 2.2.0 which shows using custom train and test step along keras fit colab.research.google.com/drive/1Tbyvr6J… @fchollet @random_forests
debuggercafe.com/brain-mri-clas… New post at DebuggerCafe - PyTorch EfficientNetB0 for Brain MRI Image Classification #PyTorch #EfficientNet #EfficientNetB0 #TransferLearning #FineTuning #ImageClassification #DeepLearning
debuggercafe.com/transfer-learn… New tutorial at DebuggerCafe - Transfer Learning using EfficientNet PyTorch #PyTorch #DeepLearning #EfficientNet #EfficientNetB0 #TransferLearning #ImageClassification
🎄Yeni blog yazısı: state-of-the-art modellerden #EfficientNet hakkında ve tabi ki örnek uygulamasıyla birlikte 😇 “Nasıl düşüneceğini bilmek, sadece ne düşüneceğini bilenlerin çok daha ötesinde olmanı sağlayacaktır.” Neil deGrasse Tyson link.medium.com/sbFzcyPzz2
Microsoft researchers training AI on chest X-rays: throughput is ~2000 images per second on IPU and ~166 images per second on GPU. Incredible performance gains for diagnostic imaging training on IPU! #EfficientNet #MedicalImaging #AI #IHINS @IntHealthAI @Azure
How can I fine-tune EfficientNetB3 model and retain some of its exisiting labels? stackoverflow.com/questions/7166… #tensorflow #efficientnet #keras #transferlearning
New post on DebuggerCafe. Train an EfficientNetB1 model on the Caltech UCSD Birds 200 dataset to recognize 200 species of birds. debuggercafe.com/caltech-ucsd-b… #PyTorch #ImageClassification #EfficientNet #NeuralNetworks #BirdClassification #AIforWildlife #ComputerVision #DeepLearning
debuggercafe.com/pytorch-pretra… New tutorial at DebuggerCafe - Image classification using pretrained PyTorch EfficientNetB0. Also compare inference time with that of ResNet50 on both CPU and GPU. #PyTorch #DeepLearning #EfficientNet #EfficientNetB0 #ImageClassification #ComputerVision
RT How we made EfficientNet more efficient dlvr.it/S2Rh9R #efficientnet #convolutionneuralnet #modeltraining
Unlock the secrets of image classification using Keras CV and EfficientNet! 📸 Learn to configure your Python environment, compile datasets, and apply advanced preprocessing and augmentation techniques. Read here 👉 folderit.net/image-classifi… #KerasCV #EfficientNet #FolderITBlog
Bird Box - websystemer.no/bird-box/ #deeplearning #editorspick #efficientnet #machinelearning #objectdetection
Presenting a method for #olivedisease classification, based on an adaptive ensemble of two #EfficientNet-b0 models: “Efficient #DeepLearning Approach for Olive Disease Classification” by A. Bruno, D. Moroni, M. Martinelli. ACSIS Vol. 35 p. 889–894; tinyurl.com/4ssj8d8a
RT Accelerating Computer Vision: How we scaled EfficientNet to IPU-POD Supercomputing Systems dlvr.it/SFQYJj #convolutionneuralnet #efficientnet #machineintelligence
ImageNetで1桁少ないパラメータサイズでSoTA。CPU推論で6倍高速化。乗るしかない、このビッグウェーブに Google AI Blog:EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling #TPU #EfficientNet ai.googleblog.com/2019/05/effici… @googleaiさんから
Blogged: Understanding & implementing SimCLR self-supervised learning w/@PyTorch using #EfficientNet, @PyTorchLightnin & @weights_biases - an ELI5-style guide with detailed explanation of SimCLR's loss function and #googlecolab notebook #deeplearning #ai zablo.net/blog/post/unde…
zablo.net
Understanding & implementing SimCLR in PyTorch - an ELI5 guide
Transfer learning and pre-training schemas for both NLP and Computer Vision have gained a lot of attention in the last months. Research showed that carefully designed unsupervised/self-supervised...
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
Learning PyTorch by diving into EfficientNet’s architecture! Over 4 million parameters, but only 3.8K are trainable, showing how efficient it can be. Excited to keep exploring! #PyTorch #EfficientNet #DeepLearning #MachineLearning #GenerativeAI
Presenting a method for #olivedisease classification, based on an adaptive ensemble of two #EfficientNet-b0 models: “Efficient #DeepLearning Approach for Olive Disease Classification” by A. Bruno, D. Moroni, M. Martinelli. ACSIS Vol. 35 p. 889–894; tinyurl.com/4ssj8d8a
Rotate the ReLU to Sparsify Deep Networks Implicitly Nancy Nayak, Sheetal Kalyani tmlr.infinite-conf.org/paper_pages/Nz… #efficientnet #regularizer #regularization
Unlock the secrets of image classification using Keras CV and EfficientNet! 📸 Learn to configure your Python environment, compile datasets, and apply advanced preprocessing and augmentation techniques. Read here 👉 folderit.net/image-classifi… #KerasCV #EfficientNet #FolderITBlog
#EfficientNet has achieved state of the art accuracy on #ImageNet while being 8.4x smaller and 6.1x faster!!
300M unlabelled images vs 3.5B labelled images. The FSD industry has been dying for something like this. The weekend warrior engineers thank you, Google. @hardmaru @JeffDean #NoisyStudent #EfficientNet
Nice example of #UNet + #EfficientNet using @TensorFlow 2.2 and tf.keras:
UNet with EfficientNet encoder - @tensorflow 2.2.0 which shows using custom train and test step along keras fit colab.research.google.com/drive/1Tbyvr6J… @fchollet @random_forests
Microsoft researchers training AI on chest X-rays: throughput is ~2000 images per second on IPU and ~166 images per second on GPU. Incredible performance gains for diagnostic imaging training on IPU! #EfficientNet #MedicalImaging #AI #IHINS @IntHealthAI @Azure
debuggercafe.com/brain-mri-clas… New post at DebuggerCafe - PyTorch EfficientNetB0 for Brain MRI Image Classification #PyTorch #EfficientNet #EfficientNetB0 #TransferLearning #FineTuning #ImageClassification #DeepLearning
How can I fine-tune EfficientNetB3 model and retain some of its exisiting labels? stackoverflow.com/questions/7166… #tensorflow #efficientnet #keras #transferlearning
Bird Box - websystemer.no/bird-box/ #deeplearning #editorspick #efficientnet #machinelearning #objectdetection
This is my notebook w/ a simple #KNN experiment on this. kaggle.com/code/moeinshar… You can see the results of different methods on simple KNN classification on CIFAR10 w/ pre-trained #efficientnet here. Embedding size: 1280D --> 64D, w/o any extra training!
Unlock the secrets of image classification using Keras CV and EfficientNet! 📸 Learn to configure your Python environment, compile datasets, and apply advanced preprocessing and augmentation techniques. Read here 👉 folderit.net/image-classifi… #KerasCV #EfficientNet #FolderITBlog
debuggercafe.com/transfer-learn… New tutorial at DebuggerCafe - Transfer Learning using EfficientNet PyTorch #PyTorch #DeepLearning #EfficientNet #EfficientNetB0 #TransferLearning #ImageClassification
Presenting a method for #olivedisease classification, based on an adaptive ensemble of two #EfficientNet-b0 models: “Efficient #DeepLearning Approach for Olive Disease Classification” by A. Bruno, D. Moroni, M. Martinelli. ACSIS Vol. 35 p. 889–894; tinyurl.com/4ssj8d8a
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! 👇 akshayballal.hashnode.dev/how-to-build-a…
New post on DebuggerCafe. Train an EfficientNetB1 model on the Caltech UCSD Birds 200 dataset to recognize 200 species of birds. debuggercafe.com/caltech-ucsd-b… #PyTorch #ImageClassification #EfficientNet #NeuralNetworks #BirdClassification #AIforWildlife #ComputerVision #DeepLearning
Searching for Better Neural Architecture Search - websystemer.no/searching-for-… #efficientnet #machinelearning #neuralnetworks #neuralarchitecturesearch #onceforall
Learning PyTorch by diving into EfficientNet’s architecture! Over 4 million parameters, but only 3.8K are trainable, showing how efficient it can be. Excited to keep exploring! #PyTorch #EfficientNet #DeepLearning #MachineLearning #GenerativeAI
RT How we made EfficientNet more efficient dlvr.it/S2Rh9R #efficientnet #convolutionneuralnet #modeltraining
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