Author Archives: Rajkumar Lakshmanamoorthy - Page 3
Transfer Learning is the approach of making use of an already trained deep learning model along with its weights for a related task
The post Exploring Transfer Learning Using TensorFlow Keras appeared first on Analytics India Magazine.
NVIDIA's Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
The post Guide To NVIDIA’s Kaolin: A 3D Deep Learning Library appeared first on Analytics India Magazine.
NVIDIA's Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
The post Guide To NVIDIA’s Kaolin: A 3D Deep Learning Library appeared first on Analytics India Magazine.
Computer Vision attempts what a human brain does with the aid of eyes. It is a branch of Deep Learning that deals with images and videos.
The post Getting Started With Computer Vision Using TensorFlow Keras appeared first on Analytics India Magazine.
The Google Brain team has introduced STAC, semi-supervised learning (SSL) framework to perform object detection in a simplified way
The post Guide to Google’s STAC: An SSL Framework For Object Detection appeared first on Analytics India Magazine.
Deep Learning is a subset of Machine learning. It was developed to have an architecture and functionality similar to that of a human brain.
The post Getting Started With Deep Learning Using TensorFlow Keras appeared first on Analytics India Magazine.
Facebook's D2Go with in-built Detectron2 is the state-of-the-art toolkit for training & deployment of computer vision models on mobile devices
The post How Facebook’s D2Go Brings Detectron2 To Mobile appeared first on Analytics India Magazine.
Pandas is famous for its datetime parsing, processing, analysis & plotting functions. It is vital to inform Python about date & time entries.
The post Complete Guide To Datetime Parsing With Pandas appeared first on Analytics India Magazine.
Stochastic Differential Equations (SDE) in a score-based generative model solve conditioned inverse problems such as inpainting, colorization
The post How Score-Based SDE Excels In Generative Modeling appeared first on Analytics India Magazine.
Goodness-of-Fit test, a traditional statistical approach, gives a solution to validate our theoretical assumptions about data distributions.
The post Complete Guide to Goodness-of-Fit Test using Python appeared first on Analytics India Magazine.