Convolutional neural networks in medical image understanding: a survey
Imaging techniques are used to capture anomalies of the human body. The captured images
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
must be understood for diagnosis, prognosis and treatment planning of the anomalies …
Deep learning for time series forecasting: a survey
Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …
increasing in recent years. Deep neural networks have proved to be powerful and are …
[HTML][HTML] PyMC: a modern, and comprehensive probabilistic programming framework in Python
PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …
A survey of deep convolutional neural networks applied for prediction of plant leaf diseases
In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …
new knowledge. By using DL, the extraction of advanced data representations and …
An introductory review of deep learning for prediction models with big data
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and
machine learning. Recent breakthrough results in image analysis and speech recognition …
machine learning. Recent breakthrough results in image analysis and speech recognition …
Fastai: a layered API for deep learning
J Howard, S Gugger - Information, 2020 - mdpi.com
fastai is a deep learning library which provides practitioners with high-level components that
can quickly and easily provide state-of-the-art results in standard deep learning domains …
can quickly and easily provide state-of-the-art results in standard deep learning domains …
[HTML][HTML] Potential, challenges and future directions for deep learning in prognostics and health management applications
Deep learning applications have been thriving over the last decade in many different
domains, including computer vision and natural language understanding. The drivers for the …
domains, including computer vision and natural language understanding. The drivers for the …
A comprehensive survey on model compression and acceleration
In recent years, machine learning (ML) and deep learning (DL) have shown remarkable
improvement in computer vision, natural language processing, stock prediction, forecasting …
improvement in computer vision, natural language processing, stock prediction, forecasting …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest develo** fields in …
one another with minimal human intervention. IoT is one of the fastest develo** fields in …