Libraries like Ultralytics had a great impact on deep learning, specifically object detection. Even if someone doesn't have any knowledge...
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→ Step-by-step guide for creating a GPU-supported TensorFlow environment in Docker with Ubuntu. In the last article, I showed you...
Before starting to learn deep learning, I checked Reddit for choosing between PyTorch and TensorFlow, and I saw the funniest...
→ Step-by-step guide for training DETR(Detection Transformer) object detection models in PyTorch with any dataset. When it comes to object...
→ Article explaining DINOv3 and demonstrating how to create similarity maps using cosine similarity formula. Just look around. You probably...
→ Article about explaining CLIP and demonstrating image classification using CLIP models. I normally like to write an introduction paragraph...
→ Article about how to segment objects using the pretrained promptable SAM2 segmentation models on videos. Segment Anything (SAM) is...
→ How to create a GPU-supported TensorFlow environment using Miniconda. If you are interested in Deep Learning, it is important...
→ How to create a GPU-supported PyTorch environment using both Anaconda and Python's virtual environments. There are servers that have...
→ Article about tracking objects with YOLO and tracking algorithms (ByteTrack & BoT-SORT) in Python. Object tracking is different from...