Wahyuni·Oct 24Klasifikasi Tingkat Kenyamanan Berkendara Berdasarkan Citra Permukaan Jalan Menggunakan…PENDAHULUAN
Menura Basitha Andrahennedi·Jul 26From AlexNet to EfficientNet: The Evolution of Convolutional Neural NetworksConvolutional Neural Networks, commonly known as CNNs, have become one of the most important technologies in computer vision. They are used…
InAI MindbySabitha Manoj·Jun 29A Practical Guide to EfficientNet with Python ExamplesDeep learning models have become increasingly powerful over the years. Researchers often improved performance by making networks:
Serdar Dedebas·Jun 18ResNet and EfficientNet: Two Ideas That Shaped Modern Computer VisionIf you have ever fine-tuned a model for image classification, run an object detector, or pulled a “pretrained backbone” off the shelf…
Eleventh Hour Enthusiast·Apr 26Neural Architecture Search and the Automation of Network DesignHow evolutionary strategies search for network architectures rather than hand designing them
Birendra Kumar Sharma·Apr 16Building a Plant Disease Classifier: From Messy Dataset to 99.17% Test AccuracyDisclaimer: Parts of this content were generated with the assistance of AI.
Darshan Shah·Mar 28Building a Backyard Bird Watcher with AI: Part 2 — Training Your Own ModelWhen off-the-shelf models fail, the answer is usually: collect your own data and train something smaller.A response icon1A response icon1
Advait Shinde·Mar 25CNNs : breakdown and breakthroughs from 1998 to 2019 !Convolutional neural networks got Deep Learning on the board. Before CNNs, deep learning was mainly comprised of Fully Connected Layers!
InImage Classification TutorialsbyEran Feit·Feb 11I Built a MediaPipe Image Classifier in Python With EfficientNet-Lite0 — Here’s the Clean WorkflowI needed a quick way to recognize what’s inside a single image without training anything. No dataset. No “let’s fine-tune a model for…
AthulyaWeerakoon·Feb 9I Tried EfficientNet’s Scaling Trick on ShuffleNetSo, there was this paper, published somewhere in the middle of covid, called ‘EfficientNet: Rethinking Model Scaling for Convolutional…
