Author Archives: Rajkumar Lakshmanamoorthy - Page 2
Ensemble Learning is the process of gathering more than one machine learning model in a mathematical way to obtain better performance.
The post Comprehensive Guide To Ensemble Methods For Data Scientists appeared first on Analytics India Magazine.
Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in autonomous Computer Vision applications such as Robot Navigation, Self-driving Vehicles, Sports Analytics and Virtual Reality. Locating objects is done mostly with bounding boxes. Instance segmentation masks and key points are…
The post Getting Started With Object Detection Using TensorFlow appeared first on Analytics India Magazine.
VDSM is a novel unsupervised approach with a hierarchical architecture that learns disentangled representations through inductive bias.
The post Guide To VDSM: A Deep Inductive Bias Model For Video Disentanglement appeared first on Analytics India Magazine.
Dimensionality reduction is the process of extracting the most important dimensions, discarding the unimportant dimensions
The post Comprehensive Guide To Dimensionality Reduction For Data Scientists appeared first on Analytics India Magazine.
Dimensionality reduction is the process of extracting the most important dimensions, discarding the unimportant dimensions
The post Comprehensive Guide To Dimensionality Reduction For Data Scientists appeared first on Analytics India Magazine.
Dimensionality reduction is the process of extracting the most important dimensions, discarding the unimportant dimensions
The post Comprehensive Guide To Dimensionality Reduction For Data Scientists appeared first on Analytics India Magazine.
Dimensionality reduction is the process of extracting the most important dimensions, discarding the unimportant dimensions
The post Comprehensive Guide To Dimensionality Reduction For Data Scientists appeared first on Analytics India Magazine.
Semantic segmentation in computer vision is the supervised process of pixel-level image classification into two or more Object classes
The post Getting Started With Semantic Segmentation Using TensorFlow Keras appeared first on Analytics India Magazine.
3D deep learning finds crucial applications nowadays in many domains, including robotics, autonomous driving, virtual reality, and medical diagnosis. The 3D data required for training is collected using 3D sensors such as LiDAR (Light Detection And Ranging) and Depth cameras (e.g. RGB-D cameras). With increased numbers of 3D sensors, collecting data for training and capturing…
The post Guide To labelCloud: A Python Tool for Annotating 3D Point Clouds appeared first on Analytics India Magazine.
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.