deep learning toolbox (MathWorks Inc)
MathWorks Inc is a verified supplier 
96
Structured Review
MathWorks Inc
deep learning toolbox
Deep Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 944 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/learning/Deep+Learning+Toolbox/pm42884488-83-14-13
Average 96 stars, based on 944 article reviews
Deep Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 944 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/learning/Deep+Learning+Toolbox/pm42884488-83-14-13
Average 96 stars, based on 944 article reviews
deep learning toolbox - by Bioz Stars,
2026-10
96/100 stars
Images
Related Articles
other:Article Title: SNNLCnet: A shallow neural network integrated model for electroencephalogram-based classification of learning comprehension Article Snippet: The Article Title: Functional upcycling of nanomodified cementitious waste into recycled aggregate with multiscale reinforcement and environmental performance assessment. Article Snippet: The growing accumulation of cementitious waste and continued extraction of natural sand have increased the need for high-value recycling of cement-based materials.. However, recycled cementitious particles are often limited by old hydration products, residual pores, and crushing-induced microcracks.. Nano-modified cementitious waste may offer an alternative pathway because residual nanomaterials, if retained after crushing, could still influence pore structure and interfacial bonding. Article Title: Longitudinal Multi-Batch Characterisation of Beer Wort Fermentation Foam Using Image-Based Semantic Segmentation. Article Snippet: Development and per-batch training of the segmentation models The convolutional encoder–decoder network described above was implemented in Article Title: An Artificial Intelligence Framework for Detection of Leukemia with Comparison Between Segmented and Non-Segmented Images. Article Snippet: C. Proposed CNN Architecture We designed a lightweight custom CNN from Article Title: A Lagrangian Time‐Series Machine Learning Framework for Predicting Concentrations and Exploring Drivers of Atmospheric Aerosols: Model Development and Application to Cloud Condensation Nuclei in Marine Boundary Layer Article Snippet: The model is built based on the Article Title: Lithium-ion battery state-of-health prediction using Inception-V4 network optimized by Modified Hiking Optimization Algorithm Article Snippet: The code was tested on Article Title: A Hybrid Raytracing and Deep Learning-Based Approach for Single-Site Localization of Radio Emitters in Urban Environment. Article Snippet: Deep Learning Sector Classifier To achieve spatial filtering and isolate the geometric region of the non-cooperative transmitter, a deep Convolutional Neural Network (CNN) was developed and implemented utilizing the Generated:Article Title: Application of Radar Measurements in Neural-Dynamic and Game-Based Safe Ship Controls in Multi-Object Passing Situations. Article Snippet: .. https://doi.org/10.3390/s26196087 Domains in the shape of a circle, hexagon, ellipse, or parabola, with size proportional to the collision risk rj, are generated by a neural network from the |