In deep learning, training a model is not the final step. Be it image classification or object detection, a deep learning project becomes worthwhile only when it reaches the masses. That's where ...
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Image Classification using Pre-Trained ImageNet Models in TensorFlow & Keras
In this post, we will learn how to use pre-trained ImageNet models to perform image classification. We have already seen how we can train a simple neural network to classify images from the CIFAR-10 ...
Train YOLOv8 on Custom Dataset – A Complete Tutorial
Ultralytics recently released the YOLOv8 family of object detection models. These models outperform the previous versions of YOLO models in both speed and accuracy on the COCO dataset. But what about ...
Diffusion Models for Image Generation – A Comprehensive Guide
Diffusion models, including Glide, Dalle-2, Imagen, and Stable Diffusion, have spearheaded recent advances in AI-based image generation, taking the world of "AI Art generation" by storm. Generating ...
Convolutional Neural Network (CNN): A Complete Guide
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing. In this post, we will learn about Convolutional Neural Networks in the context of an image classification ...
Implementing a CNN in TensorFlow & Keras
In this post, we’ll learn how to implement a Convolutional Neural Network (CNN) from scratch using Keras. Here, we show a CNN architecture similar to the structure of VGG-16 but with fewer layers. We ...
