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 /

Xehetasun bibliografikoak
Egile nagusia:	Rivas, Pablo (Egilea)
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Birmingham : Packt Publishing, 2020.
Gaiak:	Machine learning. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

Deep learning /
nork: Goodfellow, Ian
Argitaratua: (2016)

Deep learning with Python /
nork: Chollet, François
Argitaratua: (2018)

Grokking deep learning /
nork: Trask, Andrew W.
Argitaratua: (2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Introduction to deep learning /
nork: Charniak, Eugene
Argitaratua: (2018)

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

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

Multimodal human detection in disaster situations using deep learning & artificial intelligence
nork: Rafat, Md. Tasbi, et al.
Argitaratua: (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 /
nork: Sugomori, Yusuke
Argitaratua: (2016)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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