How to AI

An overview of Deep Learning for Major Computer Vision Tasks

Master Computer Vision With PyTorch

Computer vision (CV) has been disrupted by deep learning and convolutional neural networks(CNN) in recent years. You can now implement many CV algorithms pretty…

Video Classification with CNN, RNN, and PyTorch

Video classification is the task of assigning a label to a video clip. This application is useful if you want to know what kind of activity is happening in a video. In this post, I will share a method of classifying videos using Convolutional…

Playing with Loss Functions in Deep Learning

In this post, we are going to be developing custom loss functions in deep learning applications such as semantic segmentation. We use Python 2.7 and Keras 2.x for implementation.

Model Surgery: copy weights from model to model

A Keras 1.x example

Consider you have a trained model named model_1 and you want to copy its weights into another model named model_2.