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 ...
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 ...
Unlock the Power of Fine-Tuning Pre-Trained Models in TensorFlow & Keras
In the previous post in this series, we showed how to use pre-trained models in Keras to perform image classification. Here we will explore additional options for leveraging pre-trained models with an ...
A Step-by-Step Tutorial on Image Segmentation using Tensorflow Hub
In this post, we will learn how to perform semantic image segmentation using pre-trained models available in TensorFlow Hub. TensorFlow Hub is a library and platform designed for sharing, ...
Object Detection Made Easy with TensorFlow Hub: Step-by-Step Tutorial
In this post, we will learn how to perform object detection with TensorFlow Hub pre-trained models. TensorFlow Hub is a library and platform designed for sharing, discovering, and reusing pre-trained ...
