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Convolutional neural networks with Swift for Tensorflow : image recognition and dataset categorization / / Brett Koonce
| Convolutional neural networks with Swift for Tensorflow : image recognition and dataset categorization / / Brett Koonce |
| Autore | Koonce Brett |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (XXI, 245 p. 1 illus.) |
| Disciplina | 006.32 |
| Soggetto topico |
TensorFlow
Neural networks (Computer science) Data sets |
| ISBN | 1-4842-6168-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: MNIST: 1D Neural Network -- Chapter 2: MNIST: 2D Neural Network -- Chapter 3: CIFAR: 2D Nueral Network with Blocks -- Chapter 4: VGG Network -- Chapter 5: Resnet 34 -- Chapter 6: Resnet 50 -- Chapter 7: SqueezeNet -- Chapter 8: MobileNrt v1 -- Chapter 9: MobileNet v2 -- Chapter 10: Evolutionary Strategies -- Chapter 11: MobileNet v3 -- Chapter 12: Bag of Tricks -- Chapter 13: MNIST Revisited -- Chapter 14: You are Here. |
| Record Nr. | UNINA-9910483468203321 |
Koonce Brett
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| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning concepts with Python and the Jupyter Notebook environment : using Tensorflow 2.0 / / Nikita Silaparasetty
| Machine learning concepts with Python and the Jupyter Notebook environment : using Tensorflow 2.0 / / Nikita Silaparasetty |
| Autore | Silaparasetty Nikita |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2020] |
| Descrizione fisica | 1 online resource (301 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
TensorFlow
Machine learning Python (Computer program language) |
| ISBN | 1-4842-5967-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: An Overview of Artificial Intelligence -- Chapter 2: An Overview of Machine Learning -- Chapter 3: Introduction to Deep Learning -- Chapter 4: Machine Learning Versus Deep Learning -- Chapter 5: Machine Learning with Python -- Chapter 6: Introduction to Jupyter Notebooks -- Chapter 7: Python Programming on the Jupyter Notebook -- Chapter 8: The Tensorflow Machine Learning Library -- Chapter 9: Programming with Tensorflow 1.0 -- Chapter 10: Introducing TensorFlow 2.0 -- Chapter 11: Machine Learning Programming with TensorFlow 2.0. |
| Record Nr. | UNINA-9910427053403321 |
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Silaparasetty Nikita
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| [Place of publication not identified] : , : Apress, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Practical machine learning in Javascript : tensorflow.js for web developers / / Charlie Gerard
| Practical machine learning in Javascript : tensorflow.js for web developers / / Charlie Gerard |
| Autore | Gerard Charley |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2021] |
| Descrizione fisica | 1 online resource (XVI, 323 p. 110 illus.) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
TensorFlow Artificial intelligence |
| ISBN |
1-5231-5067-X
1-4842-6418-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning. |
| Record Nr. | UNINA-9910483187903321 |
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Gerard Charley
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| [Place of publication not identified] : , : Apress, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Practical TensorFlow.js : deep learning in web app development / / Juan De Dios Santos Rivera
| Practical TensorFlow.js : deep learning in web app development / / Juan De Dios Santos Rivera |
| Autore | Rivera Juan De Dios Santos |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Apress, , [2020] |
| Descrizione fisica | 1 online resource (XXIV, 303 p. 67 illus.) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Artificial intelligence TensorFlow |
| ISBN | 1-4842-6273-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Welcome to TensorFlow.js -- Chapter 2: Training Our First Models -- Chapter 3: Doing k-means with ml5.js -- Chapter 4: Recognizing Handwritten Digits with Convolutional Neural Networks -- Chapter 5: Making a Game with PoseNet, a Pose Estimator Model -- Chapter 6: Identifying Toxic Text from a Google Chrome Extension -- Chapter 7: Object Detection with a Model Trained in Google Cloud AutoML -- Chapter 8: Training an Image Classifier with Transfer Learning on Node.js -- Chapter 9: Time Series Forecasting and Text Generation with Recurrent Neural Networks -- Chapter 10: Generating Handwritten Digits with Generative Adversarial Networks -- Chapter 11: Things to Remember, What's Next for You, and Final Words -- Appendix A: Apache License 2.0. |
| Record Nr. | UNINA-9910427054903321 |
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Rivera Juan De Dios Santos
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| [Place of publication not identified] : , : Apress, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Programming with TensorFlow : solution for edge computing applications / / Kolla Bhanu Prakash, G. R. Kanagachidambaresan, editors
| Programming with TensorFlow : solution for edge computing applications / / Kolla Bhanu Prakash, G. R. Kanagachidambaresan, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (X, 190 p.) |
| Disciplina | 006.32 |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Neural networks (Computer science)
Machine learning TensorFlow |
| ISBN | 3-030-57077-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Installation Guide to Tensorflow -- Hello Tensorflow Program -- Representation of Vector -- Session with Tensorflow -- Matrix elementary operation -- Variable and constant -- Simple mathematical operation -- Matrix -- Variable Concept & Implementation -- Placeholder Concept & Implementation -- Equation with Tensor -- Matplot -- Regression Model -- Neural Network -- Convolutional Neural Network -- Recurrent Neural Network -- Application of Machine Learning & Deep Learning -- Implementing Chatbots -- Working with Text and Sequences + TensorBoard visualization -- TensorFlow Autoencoders -- Advanced TensorFlow Programming -- Reinforcement Learning -- RNN & LSTM using Keras -- Deep Learning with Pytorch -- Conclusion. |
| Record Nr. | UNINA-9910483166903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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