Tensorflow
In this post we will learn about Video Classification We will go over a number of approaches to make a video classifier for Human Activity Recognition Basically you will learn
Image classification is used to solve several Computer Vision problems right from medical diagnoses to surveillance systems on to monitoring agricultural farms nbsp There are innumerable possibilities to explore using
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
Let s play rock paper scissors You think of your move and I ll make mine below this line in 1 8230 2 and 3 I choose ROCK Well 8230
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
In a previous post we covered the concept of fully convolutional neural networks FCN in PyTorch where we showed how we could solve the classification task using the input image
