Fast text compression with neural networks

Neural Networks with Model Compression

📁 Neural Networks with Model Compression

✍ Baochang Zhang; Tiancheng Wang; Sheng Xu; David Doermann 📂 Library 📅 2024 🏛 Springer Nature Singapore 🌐 English

Deep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floating-point operations (FLOPs)

Neural Networks with Model Compression

📁 Neural Networks with Model Compression

✍ Baochang Zhang, Tiancheng Wang, Sheng Xu, David Doermann 📂 Library 📅 2024 🏛 Springer 🌐 English

Deep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floating-point operations (FLOPs)

Neural Networks with R

📁 Neural Networks with R

✍ Giuseppe Ciaburro, Balaji Venkateswaran 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provi

Neural Networks with R

📁 Neural Networks with R

✍ Balaji Venkateswaran 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help you better understand their concepts. A basic understanding of R and mathematics is required.

Neural Networks with R

📁 Neural Networks with R

✍ Balaji Venkateswaran; Giuseppe Ciaburro 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe

NEURAL NETWORKS with MATLAB

📁 NEURAL NETWORKS with MATLAB

✍ Marvin L. 📂 Library 📅 2016 🏛 CreateSpace Independent Publishing Platform 🌐 English

Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolut