Grokking deep learning /

Grokking deep learning /

"Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supp...

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Bibliografiske detaljer
Hovedforfatter:	Trask, Andrew W. (Author)
Format:	Bog
Sprog:	English
Udgivet:	Shelter Island, NY : Manning, ©2019.
Fag:	Machine learning. Neural networks (Computer science) Computer science Python (Computer program language)
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

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

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

Python machine learning : Complete and clear introduction to the basics of machine learning with python. Comprehensive guide to data science and analytics /
af: Campbell, Alex
Udgivet: (2020)

Learning a deep neural network for predicting phishing website
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Udgivet: (2019)

Learn to code by solving problems : a Python programming primer /
af: Zingaro, Daniel
Udgivet: (2021)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
af: Rao, Delip, et al.
Udgivet: (2019)

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

Natural language processing with TensorFlow : teach language to machines using Python's deep learning library /
af: Ganegedara, Thushan
Udgivet: (2018)

Deep learning /
af: Goodfellow, Ian
Udgivet: (2016)

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

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

Silent voice: harnessing deep learning for lip-reading in Bangla
af: Shaheen, Munia, et al.
Udgivet: (2024)

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

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

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
af: Datta, Nirjhor, et al.
Udgivet: (2024)

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)

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

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
af: Kedia, Aman, et al.
Udgivet: (2020)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
af: Rao, Delip, et al.
Udgivet: (2019)

Natural language processing with Python and spaCy : a practical introduction /
af: Vasiliev, Yuli
Udgivet: (2020)

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

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
af: Ifty, Md. Hasin Sarwar, et al.
Udgivet: (2024)

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

Python essential reference /
af: Beazley, David M.
Udgivet: (2009)

Python for software design : how to think like a computer scientist /
af: Downey, Allen
Udgivet: (2009)

Learning Python /
af: Lutz, Mark
Udgivet: (2004)

Beginning Python : from novice to professional /
af: Hetland, Magnus Lie

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)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
af: Sakir, Adnan, et al.
Udgivet: (2023)

Automate the boring stuff with Python : practical programming for total beginners /
af: Sweigart, Al
Udgivet: (2015)

An efficient deep learning approach to detect skin cancer using image data
af: Chowdhury, Yaser Al Rahman, et al.
Udgivet: (2023)

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

Python in a nutshell /
af: Martelli, Alex, et al.
Udgivet: (2017)

Beginning Python : from novice to professional /
af: Hetland, Magnus Lie
Udgivet: (2017)

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

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, 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)

Grokking algorithms : an illustrated guide for programmers and other curious people /
af: Bhargava, Aditya Y.
Udgivet: (2016)

Automate the boring stuff with Python : practical programming for total beginners /
af: Sweigart, Al
Udgivet: (2020)