Deep learning /

Deep learning /

Bibliografiske detaljer
Hovedforfatter:	Goodfellow, Ian
Andre forfattere:	Bengio, Yoshua, Courville, Aaron
Format:	Bog
Sprog:	English
Udgivet:	Cambridge, Massachusetts : The MIT Press, c2016
Serier:	Adaptive computation and machine learning
Fag:	Machine learning, Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Foundations of machine learning /
af: Mohri, Mehryar, et al.
Udgivet: (2018)

Introduction to deep learning /
af: Charniak, Eugene
Udgivet: (2018)

Reinforcement learning : an introduction /
af: Sutton, Richard S., et al.
Udgivet: (2018)

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /
af: Rivas, Pablo
Udgivet: (2020)

Support vector machines: theory and applications /
Udgivet: (2005)

Learning a deep neural network for predicting phishing website
af: Das, Robat, et al.
Udgivet: (2019)

Deep learning with Python /
af: Chollet, François
Udgivet: (2018)

Grokking deep learning /
af: Trask, Andrew W.
Udgivet: (2019)

An efficient deep learning approach to classify white blood cells
af: Turja, Afif Ibna Kadir Khan, et al.
Udgivet: (2024)

Using deep learning algorithms to detect violent activities
af: Ammar, S.M. Rojin, et al.
Udgivet: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
af: Alif, Al Amin, et al.
Udgivet: (2019)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
af: Badhon, Ariful Islam Mahmud, et al.
Udgivet: (2022)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

Deep learning for natural language processing : creating neural networks with Python /
af: Goyal, Palash
Udgivet: (2018)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

A machine learning approach to detect DeepFake videos
af: Hassan, Md. Mahedi, et al.
Udgivet: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
af: Ahmed, Istiak, et al.
Udgivet: (2023)

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Java Deep Learning Essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java /
af: Sugomori, Yusuke
Udgivet: (2016)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
af: Sakib, Hasibul, et al.
Udgivet: (2024)

Yoga posture recognition using the deep learning process
af: Islam, Abidul, et al.
Udgivet: (2023)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
af: Zishan, Md Abu Obaida, et al.
Udgivet: (2023)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
af: Rafat, Md. Tasbi, et al.
Udgivet: (2023)

Classification of retinal diseases from OCT images using deep learning models
af: Mokarrom, Md Saif, et al.
Udgivet: (2024)

Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023)

Machine learning engineering /
af: Burkov, Andriy
Udgivet: (2020)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

Detection of alzheimer's disease using deep learning
af: Hasan, Mahmudul, et al.
Udgivet: (2021)

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

Deep learning based early Glaucoma detection
af: Islam, Aabrar, et al.
Udgivet: (2024)

Empowering mobile network planning through deep learning: a path to democratization
af: Nabi, Syed Tauhidun
Udgivet: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
af: Ghosh, Kawshik Kumar, et al.
Udgivet: (2023)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
af: Fahim, Kaji Mehedi Hasan, et al.
Udgivet: (2024)

Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems /
af: Géron, Aurélien
Udgivet: (2017)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
af: Hasan, Anita, et al.
Udgivet: (2022)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
af: Tasnim, Anika, et al.
Udgivet: (2022)

Hybrid recommendation system of intelligent captioning using deep learning networks
af: Wasi, Ahamed Al, et al.
Udgivet: (2024)

The hundred-page machine learning /
af: Burkov, Andriy
Udgivet: (2019)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)