Bağış 15 Eylül 2024 – 1 Ekim 2024 Bağış toplama hakkında

Computer Vision Using Deep Learning: Neural Network...

Main
Computers - Artificial Intelligence (AI)
Computer Vision Using Deep Learning:...

Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras

Vaibhav Verdhan

0 / 0

Bu kitabı ne kadar beğendiniz?

İndirilen dosyanın kalitesi nedir?

Kalitesini değerlendirmek için kitabı indirin

İndirilen dosyaların kalitesi nedir?

Kategoriler:

Computers - Artificial Intelligence (AI)

Yıl:

2021

Yayımcı:

Apress

Dil:

english

ISBN 10:

1484266153

ISBN 13:

9781484266151

Dosya:

EPUB, 15.73 MB

IPFS:

,

english, 2021

Online Oku

'e dönüştürme devam ediyor

dosyasına dönüştürme başarısız oldu

İlginizi çekebilir

Algore, Matt — Machine Learning With Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization

BASU, S — Learn Data Structure Array, Linked List, Stack & Queue using Python in 5 minutes

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola — Dive into Deep Learning

Andrew Lee — Programming for Beginners: 3 Manuscripts: The Complete Guide to Learning Python Crash Course, Python Machine Learning and Python Data Science in a Week

Nagesh Rao — Learning Python

Sebastian Raschka, Vahid Mirjalili — Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-Learn

Harry Leonard — The Latest Computer Vision for Beginners and Experts: Procedure and Demand

SEL, TAM — KERAS AND TENSORFLOW CODING BASICS: FOR ABSOLUTE BEGINNERS

Jason Brownlee — Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python

Adrian Rosebrock — Practical Python and OpenCV

Adrian Rosebrock — Deep Learning for Computer Vision with Python, Volume 3

Francesco Mosconi — Zero to Deep Learning with Keras and Tensorflow

Valentina Emilia Balas, Brojo Kishore Mishra, Raghvendra Kumar — Handbook of Deep Learning in Biomedical Engineering.

Laura Graesser; Wah Loon Keng — Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Nailong Zhang — A Tour Of Data Science: Learn R And Python In Parallel

Govind Singh Patel, Amrita Rai, Nripendra Narayan Das, R.P. Singh — Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things

Valliappa Lakshmanan, Martin Görner, Ryan Gillard — Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

Kreiman G. — Biological and Computer Vision

Mahmoud Hassaballah, Ali Ismail Awad — Deep learning in computer vision: principles and applications

Ragav Venkatesan, Baoxin Li — Convolutional Neural Networks in Visual Computing: A Concise Guide

Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan — Transfer Learning

Santanu Pattanayak — Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Sri Manikanta Palakollu — Practical System Programming with C: Pragmatic Example Applications in Linux and Unix-Based Operating Systems

Gayathri Rajagopalan — A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Tanay Agrawal — Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient

Navin Sabharwal; Amit Agrawal — Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing

Pradeepta Mishra — Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Felix Zumstein — Python for Excel

Mark Ryan — Deep Learning with Structured Data

Frank Kane — Building Recommender Systems with Machine Learning and AI: Help People Discover New Products and Content with Deep Learning, Neural Networks, and Machine Learning Recommendations

Ron T. Kneusel — Practical Deep Learning: A Python-Based Introduction

Chiranji Lal Chowdhary, Taylor & Francis Group, G Thippa Reddy, B D Parameshachari — Computer Vision and Recognition Systems

Prateek Joshi, David Millan Escriva, Vinicius Godoy — OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

Antonio Gulli, Sujit Pal — Deep Learning With Keras

Rajalingappaa Shanmugamani — Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Chiranji Lal Chowdhary (editor), Mamoun Alazab (editor), Ankit Chaudhary (editor), Saqib Hakak (editor), G. Thippa Reddy (editor) — Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, Technologies and Applications

Richard Szeliski — Computer Vision: Algorithms and Applications (Texts in Computer Science)

Mark Stamp, Mamoun Alazab, Andrii Shalaginov — Malware Analysis Using Artificial Intelligence and Deep Learning

Sandipan Dey — Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)

Zhang, Yu-Jin — Handbook of Image Engineering

Utku Kose, Jafar Alzubi — Deep Learning for Cancer Diagnosis

M. Arif Wani, Taghi M. Khoshgoftaar, Vasile Palade — Deep Learning Applications, Volume 2

Anahtar ifadeler

İlgili Koleksiyonlar