Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /

Dettagli Bibliografici
Autore principale:	Rivas, Pablo (Autore)
Natura:	Libro
Lingua:	English
Pubblicazione:	Birmingham : Packt Publishing, 2020.
Soggetti:	Machine learning. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Documenti analoghi

Deep learning /
di: Goodfellow, Ian
Pubblicazione: (2016)

Deep learning with Python /
di: Chollet, François
Pubblicazione: (2018)

Grokking deep learning /
di: Trask, Andrew W.
Pubblicazione: (2019)

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

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

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

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

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

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

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

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

Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow /
di: Raschka, Sebastian
Pubblicazione: (2017)

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

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

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

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

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

Introduction to deep learning /
di: Charniak, Eugene
Pubblicazione: (2018)

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

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

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

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 /
di: Sugomori, Yusuke
Pubblicazione: (2016)

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

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

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

Classifying insect pests from image data using deep learning
di: Mohsin, Md. Raiyan Bin, et al.
Pubblicazione: (2022)

A deep learning approach for prediction of ADHD using brain structure
di: Siam, Shafin Ahad, et al.
Pubblicazione: (2024)

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

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

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

Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
di: Haque, Farah Binta, et al.
Pubblicazione: (2024)

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

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
di: Barua, Debalina
Pubblicazione: (2023)

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

Cancer classification using deep learning from medical image data
di: Monir, Raiyan Janik, et al.
Pubblicazione: (2022)

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

Bang-lish sentiment classification using deep learning
di: Saleheen, Abrar, et al.
Pubblicazione: (2023)

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

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

Detection of multiple sclerosis using deep learning
di: Jannat, Sabila Al, et al.
Pubblicazione: (2021)