IntroductionAI specific features in recent NVIDIA GPUs2.1 Pascal microarchitecture (2016)2.2 Volta microarchitecture (2018)2.3 Turing microarchitecture (Late 2018)2.4 Ampere microarchitecture ...
Demystifying GPU Architectures For Deep Learning – Part 1
IntroductionCUDA programming model2.1 What is CUDA?2.2 Introduction to some important CUDA conceptsImplementing a dense layer in CUDASummary 1. Introduction A few months ago, we covered the ...
Deep Dive into TensorFlow Model Optimization Toolkit
In the previous posts of the TFLite series, we introduced TFLite and the process of creating a model. In this post, we will take a deeper dive into Model Optimization. We will explore the different ...
TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning
In this blog post, we will learn to create a TensorFlow Lite model using the TF Lite Model Maker Library. We will fine-tune a pre-trained image classification model on the custom dataset and ...
TensorFlow Lite: Model Optimization for
On-Device Machine Learning
The recent trend in the development of larger and larger Deep Learning models for a slight increase in accuracy raises the concern about their computational efficiency and wide scaled usability. We ...
YOLOv5 – Custom Object Detection Training
In this blog post, we are fine tuning YOLOv5 models for custom object detection training and inference. Introduction The field of deep learning started taking off in 2012. Around that time, ...
