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Articles about training and implementing various image classification models in PyTorch and TensorFlow, including CNNs, Vision Transformers, CLIP models, and more.
Image Classification
Image Classification with CLIP: Image-Text Similarity and Zero-Shot Labels
→ Article about explaining CLIP and demonstrating image classification using CLIP models. I normally like to write an introduction paragraph about the article, but not…
Pipeline For Training Custom ViT(Vision Transformer) Image Classification Models
→ Step-by-step guide for training custom Vision Transformer image classification models in PyTorch. Until recently, CNNs(Convolutional Neural Networks) were the best option for most computer…
Pipeline for Training PyTorch Image Classification Model / Training Model
→ Model Training: Step-by-step guide for training custom PyTorch Image Classification models with any dataset. Okay, now it is time for model training. In the…
Pipeline for Training PyTorch Image Classification Model / Creating Dataset
→ Dataset Preparation: Step-by-step guide for training custom PyTorch Image Classification models with any dataset. For training an image classification model, there are key steps,…
Combining YOLO Object Detection with Image Classification Models
→ Article about using YOLO object detection models with image classification models sequentially, using PyTorch and TensorFlow. Object Detection and Image Classification are two distinct…
Pipeline for Training TensorFlow Keras Image Classification Model
→ A step-by-step guide to training image classification models using TensorFlow Keras with any custom dataset. I wrote 2 articles about training image classification models…
