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 ...
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, ...
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 ...
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 ...
In this post, we will learn about Convolutional Neural Networks (CNN) in the context of an image classification problem. We first cover the basic structure of CNNs and then delve into the detailed ...
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 ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
