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Domain: keras.io Added: 2025-07-12 Status: โœ“ Success
deep-learning,neural-networks,keras,keras.io
Author: fchollet Date created: 2020/04/27 Last modified: 2023/11/09 Description: Training an image classifier from scratch on the Kaggle Cats vs Dogs dataset. This example shows how to do image classi...
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A Refined Training Recipe for Fine-Grained Visual Classification
https://towardsdatascience.com/a-refined-training-recipe-for-fine-grained-visual-classification/
1. The problem: We needed a system that could identify specific car models, not just โ€œthis is a BMW,โ€ but which BMW model and year. And it needed to r...
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Error extracting title
https://pyimagesearch.com/2020/02/10/opencv-dnn-with-nvidia-gpus-1549-faster-yolo-ssd-and-mask-r-cnn/
In this tutorial, youโ€™ll learn how to use OpenCVโ€™s โ€œdnnโ€ module with an NVIDIA GPU for up to 1,549% faster object detection (YOLO and SSD) and instanc...
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What a Deep Neural Network thinks about your #selfie
http://karpathy.github.io/2015/10/25/selfie/
What a Deep Neural Network thinks about your #selfie Convolutional Neural Networks are great: they recognize things, places and people in your persona...
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Deep Neural Nets: 33 years ago and 33 years from now
http://karpathy.github.io/2022/03/14/lecun1989/
Deep Neural Nets: 33 years ago and 33 years from now The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is...
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A Recipe for Training Neural Networks
http://karpathy.github.io/2019/04/25/recipe/
A Recipe for Training Neural Networks Some few weeks ago I posted a tweet on โ€œthe most common neural net mistakesโ€, listing a few common gotchas relat...
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Error extracting title
https://pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/
In this tutorial, youโ€™ll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and...
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Error extracting title
https://www.pinecone.io/learn/series/image-search/clip/?_hsenc=p2ANqtz-_MZUbziNKCoB2HdM3hBzmaHEesRF9TFZ-S2FkjdJPtOZ2z4GVwso8C-LuBAx8f1Ac7N3G2rnc19e3xHqfVE4zty3DNoQ&_hsmi=251366668&utm_content=251366668&utm_medium=email&utm_source=hs_automation
Multi-modal ML with OpenAI's CLIP Language models (LMs) can not rely on language alone. That is the idea behind the โ€œExperience Grounds Languageโ€ pape...
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Synthetic Data Generation Using the BLIP and PaliGemma Models
https://pyimagesearch.com/2025/08/11/synthetic-data-generation-using-the-blip-and-paligemma-models/
Table of Contents Synthetic Data Generation Using the BLIP and PaliGemma Models In this tutorial, we embark on the first part of a two-part series whe...
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Synthetic Data Generation Using the VLM-as-Judge Method
https://pyimagesearch.com/2025/08/18/synthetic-data-generation-using-the-vlm-as-judge-method/
Table of Contents - Synthetic Data Generation Using the VLM-as-Judge Method - Configuring Your Development Environment - Set Up and Imports - Download...
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I trained a model. What is next?
https://medium.com/kaggle-blog/i-trained-a-model-what-is-next-d1ba1c560e26?source=rss----4b0982ce16a3---4
I trained a model. What is next? Here at Kaggle weโ€™re excited to showcase the work of our Grandmasters. This post was written by Vladimir Iglovikov, a...
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