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 ...
PyTorch to Tensorflow Model Conversion
In this post, we will learn how to convert a PyTorch model to TensorFlow. If you are new to Deep Learning you may be overwhelmed by which framework to use. We personally think PyTorch is the first ...
Playing Rock, Paper, Scissors with AI
Let’s play rock, paper scissors.You think of your move and I’ll make mine below this line in 1...2…and 3. I choose ROCK. Well? ...who won. It doesn't matter cause you probably glanced at the ...
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 ...
EfficientNet: Theory + Code
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...