Image classification is used to solve several Computer Vision problems; right from medical diagnoses, to surveillance systems, on to monitoring agricultural farms. There are innumerable ...
Experiment Logging with TensorBoard and wandb
When approaching a problem using Machine Learning or Deep Learning, researchers often face a necessity of model tuning because the chosen method usually depends on various hyperparameters and used ...
Training a Custom Object Detector with DLIB & Making Gesture Controlled Applications
In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I'm sure you will have loads of fun ...
Using Facial Landmarks for Overlaying Faces with Masks
Have you ever wondered how Instagram masks are fitting so perfectly on your face? Would you like to know how you can try to implement something similar by yourself? This post will help you with that! ...
CNN Receptive Field Computation Using Backprop with TensorFlow
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
CNN Fully Convolutional Image Classification with TensorFlow
In a previous post, we had covered the concept of fully convolutional neural networks (FCN) in PyTorch, where we showed how we can solve the classification task using the input image of arbitrary ...