Convolutional Neural Network Architecture
Advances in AI and deep learning have enabled the rapid evolution in the fields of computer vision and image analysis....
An Introduction to Transfer Learning
As we strive to create machines that can handle complex tasks, deep learning is increasingly coming into the spotlight. Because...
Best GPU for Deep Learning
Creating a Deep Learning (DL) model involves training Artificial Neural Networks (ANN) to perform various tasks. This process usually includes...
An Introduction to Deep Reinforcement Learning
Deep reinforcement learning is a promising combination between two artificial intelligence techniques: reinforcement learning, which uses sequential trial and error...
An Insight into YOLO Deep Learning
Object detection algorithms enable many advanced technologies and are a primary research focus for many industries from transportation to healthcare....
Object Tracking Simplified
Object tracking is a field within computer vision that involves tracking objects as they move across several video frames. In...
Super-Resolution Deep Learning
The image remastering approach known as Super-Resolution (SR) has numerous applications in many fields such as medical imaging in healthcare, autonomous driving systems...
A Complete Guide on Hyperparameters: Optimization Methods
Neural network hyperparameters shape how the network functions, and determine its accuracy and validity. Hyperparameters are an unsolved problem –...
Neural Networks for Regression
Lasso Regression
Apply Deep Learning for Big Data
The term big data refers to the rapid increase in data in the organizations and societies of today. Deep learning...
Do not be led by others,
awaken your own mind,
amass your own experience,
and decide for yourself your own path - Atharv Ved