Deep learning /

Deep learning /

Библиографические подробности
Главный автор:	Goodfellow, Ian
Другие авторы:	Bengio, Yoshua, Courville, Aaron
Формат:	‌
Язык:	English
Опубликовано:	Cambridge, Massachusetts : The MIT Press, c2016
Серии:	Adaptive computation and machine learning
Предметы:	Machine learning, Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Схожие документы

Foundations of machine learning /
по: Mohri, Mehryar, и др.
Опубликовано: (2018)

Introduction to deep learning /
по: Charniak, Eugene
Опубликовано: (2018)

Reinforcement learning : an introduction /
по: Sutton, Richard S., и др.
Опубликовано: (2018)

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

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

Learning a deep neural network for predicting phishing website
по: Das, Robat, и др.
Опубликовано: (2019)

Deep learning with Python /
по: Chollet, François
Опубликовано: (2018)

Grokking deep learning /
по: Trask, Andrew W.
Опубликовано: (2019)

An efficient deep learning approach to classify white blood cells
по: Turja, Afif Ibna Kadir Khan, и др.
Опубликовано: (2024)

Using deep learning algorithms to detect violent activities
по: Ammar, S.M. Rojin, и др.
Опубликовано: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
по: Alif, Al Amin, и др.
Опубликовано: (2019)

An implementation and analysis of deep learning models for the detection of wheat diseases
по: Zubair, Ahmad, и др.
Опубликовано: (2024)

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

Document template identification and data extraction using machine learning and deep learning approach
по: Roy, Kaushik, и др.
Опубликовано: (2024)

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

Weather forecasting using Deep Learning
по: Fahad, Sheikh Abdul, и др.
Опубликовано: (2023)

A machine learning approach to detect DeepFake videos
по: Hassan, Md. Mahedi, и др.
Опубликовано: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
по: Ahmed, Istiak, и др.
Опубликовано: (2023)

Predicting crime using deep learning
по: Shihab, Muhammad Nafees, и др.
Опубликовано: (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 /
по: Sugomori, Yusuke
Опубликовано: (2016)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
по: Sakib, Hasibul, и др.
Опубликовано: (2024)

Yoga posture recognition using the deep learning process
по: Islam, Abidul, и др.
Опубликовано: (2023)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
по: Zishan, Md Abu Obaida, и др.
Опубликовано: (2023)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
по: Rafat, Md. Tasbi, и др.
Опубликовано: (2023)

Classification of retinal diseases from OCT images using deep learning models
по: Mokarrom, Md Saif, и др.
Опубликовано: (2024)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

Machine learning engineering /
по: Burkov, Andriy
Опубликовано: (2020)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Detection of alzheimer's disease using deep learning
по: Hasan, Mahmudul, и др.
Опубликовано: (2021)

Leveraging sequential deep learning models for detecting multitude of human action categories
по: Pranta, Kazi Al Refat, и др.
Опубликовано: (2024)

Deep learning based early Glaucoma detection
по: Islam, Aabrar, и др.
Опубликовано: (2024)

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

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
по: Ghosh, Kawshik Kumar, и др.
Опубликовано: (2023)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
по: Fahim, Kaji Mehedi Hasan, и др.
Опубликовано: (2024)

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

Emotion analysis using machine learning model and deep learning model on DEAP dataset
по: Hasan, Anita, и др.
Опубликовано: (2022)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
по: Tasnim, Anika, и др.
Опубликовано: (2022)

Hybrid recommendation system of intelligent captioning using deep learning networks
по: Wasi, Ahamed Al, и др.
Опубликовано: (2024)

The hundred-page machine learning /
по: Burkov, Andriy
Опубликовано: (2019)

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