Michael AvendiinHow to AIAn overview of Deep Learning for Major Computer Vision TasksMaster Computer Vision With PyTorchJul 16, 2020Jul 16, 2020
Michael AvendiinHow to AIVideo Classification with CNN, RNN, and PyTorchVideo classification is the task of assigning a label to a video clip. This application is useful if you want to know what kind of…Jul 16, 20203Jul 16, 20203
Michael AvendiinHow to AIPyTorch torchvision COCO DatasetThe PyTorch torchvision package has multiple popular built-in datasets. To see the list of the built-in datasets, visit this link.Jun 28, 20193Jun 28, 20193
Michael AvendiinrandomAISystem setup for AI Workstations 2This post provides instructions to install Ubunt 16.04 with NVIDIA GPU GEFORCE RTX 2070 support for the workstations we built in the…Dec 31, 2018Dec 31, 2018
Michael AvendiinHow to AIPlaying with Loss Functions in Deep LearningIn this post, we are going to be developing custom loss functions in deep learning applications such as semantic segmentation. We use…May 1, 2018May 1, 2018
Michael AvendiinHow to AIModel Surgery: copy weights from model to modelA Keras 1.x exampleMar 10, 2018Mar 10, 2018
Michael AvendiinHow to AIGAN for Medical Imaging: Generating Images and AnnotationsIn this post, we are going to show a way of using generative adversarial networks (GANs) to simultaneously generate medical images and…Feb 24, 20185Feb 24, 20185
Michael AvendiinrandomAISystem setup for the AI WorkstationsThis post provides instructions to install Ubuntu 16.04 with NVIDIA GPU support for the workstations we built in the previous post.Jan 23, 2018Jan 23, 2018
Michael AvendiinrandomAIA summary of Deep Reinforcement Learning (RL) Bootcamp: Lecture 5This post is a summary of Lecture 5 of Deep RL Bootcamp 2017 at UC Berkely. All of the figures, equations, and text are taken from the…Jan 21, 2018Jan 21, 2018
Michael AvendiinrandomAIBuilding Workstations for AI ExperimentsWe decided to expand our AI workstations so that we can run more AI experiments. Initially, we wanted to buy from Lambda Lab. But then, we…Jan 21, 2018Jan 21, 2018