Author Archives: Aishwarya Verma - Page 3
Transformers are known for their long-range interactions with sequential data and are easily adaptable to different tasks, be it Natural Language Processing, Computer Vision or audio. Transformers are free to learn all complex relationships in the given input as they do not contain any inductive bias, unlike Convolution Neural Networks(CNN). This on the one hand…
The post Generating High Resolution Images Using Transformers appeared first on Analytics India Magazine.
When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of layers, type of optimization, etc.) for a specific problem. This sudden template shift of using deep learning models for a various number of problems has made it even harder for researchers to design a new…
The post Hands-On Guide to Model Search: A Tensorflow-based Framework for AutoML appeared first on Analytics India Magazine.
When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of layers, type of optimization, etc.) for a specific problem. This sudden template shift of using deep learning models for a various number of problems has made it even harder for researchers to design a new…
The post Hands-On Guide to Model Search: A Tensorflow-based Framework for AutoML appeared first on Analytics India Magazine.
When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of layers, type of optimization, etc.) for a specific problem. This sudden template shift of using deep learning models for a various number of problems has made it even harder for researchers to design a new…
The post Hands-On Guide to Model Search: A Tensorflow-based Framework for AutoML appeared first on Analytics India Magazine.
When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of layers, type of optimization, etc.) for a specific problem. This sudden template shift of using deep learning models for a various number of problems has made it even harder for researchers to design a new…
The post Hands-On Guide to Model Search: A Tensorflow-based Framework for AutoML appeared first on Analytics India Magazine.
CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…
The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.
CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…
The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.
CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation is that compilers’ decisions are very risky performance-wise and have to be efficient for the required software. Applying AI to optimize the compiler is growing these days. However, due to the compiler’s dynamic nature, it…
The post Hands-On to CompilerGym: A Reinforcement Learning Toolkit for Compiler Optimizations appeared first on Analytics India Magazine.
3D face reconstruction has been widely used for gaming applications. Though in the existing methods, game character customization methods require manual efforts from the users’ side to get the desired results. Not long ago, researchers from Netease Fuxi AI Lab and the University of Michigan proposed a new state-of-the-art method in this direction – MeInGame:…
The post How To Create A Game Character Face Using Python & Deep Learning appeared first on Analytics India Magazine.
3D face reconstruction has been widely used for gaming applications. Though in the existing methods, game character customization methods require manual efforts from the users’ side to get the desired results. Not long ago, researchers from Netease Fuxi AI Lab and the University of Michigan proposed a new state-of-the-art method in this direction – MeInGame:…
The post How To Create A Game Character Face Using Python & Deep Learning appeared first on Analytics India Magazine.