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Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection / / by Umberto Michelucci
Autore Michelucci Umberto
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Descrizione fisica 1 online resource (XVIII, 285 p. 88 illus., 28 illus. in color.)
Disciplina 006.3
Soggetto topico Artificial intelligence
Python (Computer program language)
Open source software
Artificial Intelligence
Python
Open Source
ISBN 1-4842-4976-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction and Development Environment Setup -- Chapter 2: TensorFlow: advanced topics -- Chapter 3: Fundamentals of Convolutional Neural Networks -- Chapter 4: Advanced CNNs and Transfer Learning -- Chapter 5: Cost functions and style transfer -- Chapter 6: Object classification - an introduction -- Chapter 7: Object localization - an implementation in Python -- Chapter 8: Histology Tissue Classification.
Record Nr. UNINA-9910349527903321
Michelucci Umberto  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay
Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay
Autore Mukhopadhyay Sayan
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Descrizione fisica 1 online resource (195 pages)
Disciplina 005.133
Soggetto topico Python (Computer program language)
Big data
Open source software
Computer programming
Python
Big Data
Open Source
ISBN 1-4842-3450-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies.
Record Nr. UNINA-9910300760303321
Mukhopadhyay Sayan  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Autore Hunt John
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Compilers (Computer programs)
Python (Computer program language)
Database management
Compilers and Interpreters
Python
Database Management
ISBN 3-031-40336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part 1: Advanced language features -- Python type hints -- Class slots -- Weak references -- Data classes -- Structural pattern matching -- Working with pprint -- Shallow v deep copy -- The __init__versus __new__ and __call__ -- Python metaclasses and meta programming -- Part 2: Computer graphics and GUIs -- Introduction to computer graphics -- Python turtle graphics -- Computer generated art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical user interfaces -- Tkinter GUI library -- Events in Tkinter user interfaces -- PyDraw Tkinter example application -- Part 3: Computer graphics and GUIs -- Introduction to games programming -- Building games with pygame -- StarshipMeteors pygame -- Part 4: Testing -- Introduction to testing -- PyTest testing framework -- Mocking for testing -- Part 5: File Input / Output -- Introduction to files, paths and IO -- Reading and writing files -- Stream IO -- Working with CSV files -- Working with excel files -- Regular expressions in Python -- Part 6: Database access -- Introduction to databases -- Python DB-API -- PyMySQL module -- Part 7: Logging -- Introduction to logging -- Logging in Python -- Advanced logging -- Part 8: Concurrency and parallelism -- Introduction to concurrency and parallelism -- Threading -- MultiProcessing -- Inter thread / Process synchronisation -- Futures -- Concurrency with AsyncIO -- Performance monitoring and profiling -- Part 9: Reactive programming -- Reactive programming introduction -- RxPy observables, observers and subjects -- RxPy operators -- Part 10: Network programming -- Introduction to sockets and web services -- Sockets in Python -- Web services in Python -- Flask web services -- Flask bookshop web service -- Part 11: Data analytics and machine learning -- Introduction to data science -- Pandas and data analytics -- Alternatives to pandas -- Machine learning in Python -- Pip and Conda virtual environments.
Record Nr. UNISA-996558570903316
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Advanced Guide to Python 3 Programming [[electronic resource] /] / by John Hunt
Autore Hunt John
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Compilers (Computer programs)
Python (Computer program language)
Database management
Compilers and Interpreters
Python
Database Management
ISBN 3-031-40336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part 1: Advanced language features -- Python type hints -- Class slots -- Weak references -- Data classes -- Structural pattern matching -- Working with pprint -- Shallow v deep copy -- The __init__versus __new__ and __call__ -- Python metaclasses and meta programming -- Part 2: Computer graphics and GUIs -- Introduction to computer graphics -- Python turtle graphics -- Computer generated art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical user interfaces -- Tkinter GUI library -- Events in Tkinter user interfaces -- PyDraw Tkinter example application -- Part 3: Computer graphics and GUIs -- Introduction to games programming -- Building games with pygame -- StarshipMeteors pygame -- Part 4: Testing -- Introduction to testing -- PyTest testing framework -- Mocking for testing -- Part 5: File Input / Output -- Introduction to files, paths and IO -- Reading and writing files -- Stream IO -- Working with CSV files -- Working with excel files -- Regular expressions in Python -- Part 6: Database access -- Introduction to databases -- Python DB-API -- PyMySQL module -- Part 7: Logging -- Introduction to logging -- Logging in Python -- Advanced logging -- Part 8: Concurrency and parallelism -- Introduction to concurrency and parallelism -- Threading -- MultiProcessing -- Inter thread / Process synchronisation -- Futures -- Concurrency with AsyncIO -- Performance monitoring and profiling -- Part 9: Reactive programming -- Reactive programming introduction -- RxPy observables, observers and subjects -- RxPy operators -- Part 10: Network programming -- Introduction to sockets and web services -- Sockets in Python -- Web services in Python -- Flask web services -- Flask bookshop web service -- Part 11: Data analytics and machine learning -- Introduction to data science -- Pandas and data analytics -- Alternatives to pandas -- Machine learning in Python -- Pip and Conda virtual environments.
Record Nr. UNINA-9910746976703321
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Guide to Python 3 Programming / / by John Hunt
Advanced Guide to Python 3 Programming / / by John Hunt
Autore Hunt John
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXVI, 497 p. 649 illus., 162 illus. in color.)
Disciplina 005.133
Collana Undergraduate Topics in Computer Science
Soggetto topico Programming languages (Electronic computers)
Python (Computer program language)
Database management
Programming Languages, Compilers, Interpreters
Python
Database Management
ISBN 3-030-25943-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Computer Graphics -- Python Turtle Graphics -- Computer Generated Art -- Introduction to Matplotlib -- Graphing with Matplotlib pyplot -- Graphical User Interfaces -- The wxPython GUI library -- Events in wxPython User Interfaces -- PyDraw wxPython Example Application -- StarshipMeteors pygame -- Introduction to Testing -- Introduction to Files, Paths and IO -- Reading and Writing Files -- Stream IO -- Working with CSV Files -- Introduction to Databases -- Python DB-API -- PyMySQL Module -- Introduction to Logging -- Logging in Python -- Introduction to Concurrency and Parallelism -- Inter Thread / Process Synchronisation -- Reactive Programming Introduction -- RxPy Observables, Observers and Subjects -- RxPy Operators and Schedulers -- Introduction to Sockets and Web Services -- Sockets in Python -- Web Services in Python -- Bookshop Web Service. .
Record Nr. UNINA-9910349280603321
Hunt John  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Python Development : Using Powerful Language Features in Real-World Applications / / by Matthew Wilkes
Advanced Python Development : Using Powerful Language Features in Real-World Applications / / by Matthew Wilkes
Autore Wilkes Matthew
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (XXII, 605 p. 62 illus.)
Disciplina 005.133
Soggetto topico Python (Computer program language)
Open source software
Computer programming
Programming languages (Electronic computers)
Python
Open Source
Programming Languages, Compilers, Interpreters
ISBN 1-4842-5793-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Prototyping and Environments -- Chapter 2: Testing, Checking and Linting -- Chapter 3: Packaging Scripts -- Chapter 4: From Script to Library -- Chapter 5: Alternative Interfaces -- Chapter 6: Speeding Things Up -- Chapter 7: Aggregation Process -- Chapter 8: Asynchronous Programming -- Chapter 9: Asynchronous Databases -- Chapter 10: Viewing the Data -- Chapter 11: Fault Tolerance -- Chapter 12: Callbacks and Data Analysis.
Record Nr. UNINA-9910411927103321
Wilkes Matthew  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algorithms on Trees and Graphs : With Python Code / / by Gabriel Valiente
Algorithms on Trees and Graphs : With Python Code / / by Gabriel Valiente
Autore Valiente Gabriel <1963->
Edizione [2nd ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (392 pages)
Disciplina 511.5
Collana Texts in Computer Science
Soggetto topico Computer science - Mathematics
Discrete mathematics
Algorithms
Graph theory
Python (Computer program language)
C++ (Computer program language)
Discrete Mathematics in Computer Science
Graph Theory
Python
C++
Teoria de grafs
Soggetto genere / forma Llibres electrònics
ISBN 3-030-81885-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Algorithmic Techniques -- 3. Tree Traversal -- 4. Tree Isomorphism -- 5. Graph Traversal -- 6. Clique, Independent Set, and Vertex Cover -- 7. Graph Isomorphism.
Record Nr. UNINA-9910502982803321
Valiente Gabriel <1963->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Deep Learning : A Case-Based Approach to Understanding Deep Neural Networks / / by Umberto Michelucci
Applied Deep Learning : A Case-Based Approach to Understanding Deep Neural Networks / / by Umberto Michelucci
Autore Michelucci Umberto
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Descrizione fisica 1 online resource (425 pages)
Disciplina 006.31
Soggetto topico Artificial intelligence
Python (Computer program language)
Open source software
Computer programming
Big data
Artificial Intelligence
Python
Open Source
Big Data
ISBN 1-4842-3790-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: Single Neurons -- Chapter 3: Fully connected Neural Network with more neurons -- Chapter 4: Neural networks error analysis -- Chapter 5: Dropout technique -- Chapter 6: Hyper parameters tuning -- Chapter 7: Tensorflow and optimizers (Gradient descent, Adam, momentum, etc.) -- Chapter 8: Convolutional Networks and image recognition -- Chapter 9: Recurrent Neural Networks -- Chapter 10: A practical COMPLETE example from scratch (put everything together) -- Chapter 11: Logistic regression implement from scratch in Python without libraries. .
Altri titoli varianti Case-based approach to understanding neural networks
Record Nr. UNINA-9910300755003321
Michelucci Umberto  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / / by Taweh Beysolow II
Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / / by Taweh Beysolow II
Autore Beysolow II Taweh
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Descrizione fisica 1 online resource (158 pages)
Disciplina 006.35
Soggetto topico Artificial intelligence
Python (Computer program language)
Open source software
Big data
Artificial Intelligence
Python
Open Source
Big Data
ISBN 1-4842-3733-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: What is Natural Language Processing? -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing.
Record Nr. UNINA-9910300755103321
Beysolow II Taweh  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Reinforcement Learning with Python : With OpenAI Gym, Tensorflow, and Keras / / by Taweh Beysolow II
Applied Reinforcement Learning with Python : With OpenAI Gym, Tensorflow, and Keras / / by Taweh Beysolow II
Autore Beysolow Taweh
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Descrizione fisica 1 online resource (177 pages) : illustrations
Disciplina 006.3
Soggetto topico Artificial intelligence
Python (Computer program language)
Open source software
Computer programming
Artificial Intelligence
Python
Open Source
ISBN 1-4842-5127-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to Reinforcement Learning -- Chapter 2: Reinforcement Learning Algorithms -- Chapter 3: Q Learning -- Chapter 4: Reinforcement Learning Based Market Making -- Chapter 5: Reinforcement Learning for Video Games. .
Record Nr. UNINA-9910338230603321
Beysolow Taweh  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui