Digitization of engineering diagrams using deep learning

Na minha lista:

Detalhes bibliográficos
Autor principal:	Gahankari,Pranjal Dhananjay
Formato:	Tese Livro
Idioma:	inglês
Publicado em:	Mumbai NMIMS Mumbai May-2023
Assuntos:	Digitization of engineering diagrams using deep learning
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados

Bank cheque digitization using deep learning
por: Dangade, Priya shahji
Publicado em: (2023)

Deep Learning Using Python
por: Rose, Lovelyn S. & Kumar Ashok L., Renuka Karthika D.
Publicado em: (2024)

Patient Identification Using Deep Learning
por: Phalak, Likhit Suhas
Publicado em: (2024)

Learning Deep Learning
por: Ekman, Magnus
Publicado em: (2025)

Deep Learning
por: Goodfellow, Ian & Others
Publicado em: (2017)

Deep Learning Cookbook
por: Osinga, Douwe
Publicado em: (2023)

Deep Learning Pipeline
por: El-Amir Hisham
Publicado em: (2021)

Fundamentals of Deep Learning
por: Buduma, Nithin & Others
Publicado em: (2022)

Deep Learning using Python
por: Rose, L
Publicado em: (2019)

Deep Learning
por: Kelleher, J D
Publicado em: (2019)

Deep Learning
por: Patterson, J
Publicado em: (2021)

Deep Learning with Python
por: Chollet, F
Publicado em: (2018)

Grokking Deep Learning
por: Trask, A W
Publicado em: (2019)

Deep Learning Core Concepts, Methods And Applications
por: Gopal, M.
Publicado em: (2025)

Deep Learning
por: Kelleher,J D
Publicado em: (2019)

Deep Learning
por: Gopal,M
Publicado em: (2022)

Deep Learning for Vision Systems
por: Elgendy,M

Deep Learning in Time Series Analysis
por: Gharchbaghi,A

Deep Learning for Natural Language Processing
por: Raaijimakers, S

Deep Learning for NLP and Speech Recognition
por: Kamath ,Uday
Publicado em: (2019)

Deep Learning Illustrated
por: Krohn, J
Publicado em: (2022)

Physical geography in diagrams
por: Bunnett, R. B.
Publicado em: (2019)

Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play
por: Foster,D
Publicado em: (2023)

Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms
por: Buduma, N
Publicado em: (2022)

Deep Learning for Computer Vision
por: Shanmugamani, R
Publicado em: (2018)

Deep Learning With TensorFlow JS Projects
por: Sharma, Umang
Publicado em: (2022)

Deep Learning Based Recommendation System
por: Pashte, Aishwarya
Publicado em: (2024)

LEARNING TO USE THE INTERNET
por: ERNEST ACKERMAN
Publicado em: (1994)

Generative Deep Learing:Teaching Machines to Paint, Write, Compose and Play
por: Foster, David
Publicado em: (2020)

DEEP REINFORCEMENT LEARNING WITH PYTHON
por: SANGHI NIMISH
Publicado em: (2024)

CONSTRUCTION AND DESIGN MANUAL COMPETITION PANELS AND DIAGRAMS
por: HOSSBACH BENJAMIN
Publicado em: (2016)

ARCHITECTURAL DIAGRAMS 1
por: PYO MIYOUNG
Publicado em: (2015)

Transformative Role of Natural Language Processing and Deep Learning in Industrial and Societal Applications
por: Kulkarni Vaishali (Ed.);Munshi Ami (Ed.); and Chapaneri Radhika (Ed.)
Publicado em: (2024)

Demand forecasting model for time series pharmaceutical data using shallow and deep neural network model
por: Yadav, Prabhat
Publicado em: (2024)

Introduction to Machine Learning Using Python
por: Jose, Jeeva
Publicado em: (2023)

DEEP LEARNING
por: GOODFELLOW LAN
Publicado em: (2016)

Fraud detection using machine learning
por: Chawla, Rishika
Publicado em: (2023)

Introduction to deep learning
por: Charniak Eugene
Publicado em: (2018)

Theoretical Foundation of Digital Imaging using MATLAB
por: Yaroslavsky L P
Publicado em: (2013)

Time Series Algorithms Recipes
por: Kulkarni,AR
Publicado em: (2025)