Deep Learning with Fastai Cookbook: Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning
Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with fastai -- Technical requirements -- Setting up a fastai environment in Paperspace Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setti...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing, Limited
2021
|
| Schlagworte: | |
| Online-Zugang: | FHA01 FHM01 UBY01 Volltext |
| Zusammenfassung: | Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with fastai -- Technical requirements -- Setting up a fastai environment in Paperspace Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up a fastai environment in Google Colab -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up JupyterLab environment in Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Hello world" for fastai - creating a model for MNIST -- Getting ready… -- How to do it… -- How it works… -- There's more… -- Understanding the world in four applications: tables, text, recommender systems, and images -- Getting ready -- How to do it… -- How it works… -- Working with PyTorch tensors -- Getting ready -- How to do it… -- How it works… -- There's more… -- Contrasting fastai with Keras -- Getting ready -- How to do it… -- How it works… -- Test your knowledge -- Chapter 2: Exploring and Cleaning Up Data with fastai -- Technical requirements -- Getting the complete set of oven-ready fastai datasets -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining tabular datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining text datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Examining image datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Cleaning up raw datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Chapter 3: Training Models with Tabular Data -- Technical requirements -- Training a model in fastai with a curated tabular dataset -- Getting ready -- How to do it… -- How it works… -- Training a model in fastai with a non-curated tabular dataset -- Getting ready |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781800209992 |
Internformat
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| 520 | 3 | |a Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with fastai -- Technical requirements -- Setting up a fastai environment in Paperspace Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up a fastai environment in Google Colab -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up JupyterLab environment in Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Hello world" for fastai - creating a model for MNIST -- Getting ready… -- How to do it… -- How it works… -- There's more… -- Understanding the world in four applications: tables, text, recommender systems, and images -- Getting ready -- How to do it… -- How it works… -- Working with PyTorch tensors -- Getting ready -- How to do it… -- How it works… -- There's more… -- Contrasting fastai with Keras -- Getting ready -- How to do it… -- How it works… -- Test your knowledge -- Chapter 2: Exploring and Cleaning Up Data with fastai -- Technical requirements -- Getting the complete set of oven-ready fastai datasets -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining tabular datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining text datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Examining image datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Cleaning up raw datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Chapter 3: Training Models with Tabular Data -- Technical requirements -- Training a model in fastai with a curated tabular dataset -- Getting ready -- How to do it… -- How it works… -- Training a model in fastai with a non-curated tabular dataset -- Getting ready | |
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Datensatz im Suchindex
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| id | DE-604.BV047669396 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:54:53Z |
| indexdate | 2024-07-10T09:18:50Z |
| institution | BVB |
| isbn | 9781800209992 |
| language | English |
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| publisher | Packt Publishing, Limited |
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| spelling | Ryan, Mark 1962- Verfasser (DE-588)114330468 aut Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning Birmingham Packt Publishing, Limited 2021 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with fastai -- Technical requirements -- Setting up a fastai environment in Paperspace Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up a fastai environment in Google Colab -- Getting ready -- How to do it… -- How it works… -- There's more… -- Setting up JupyterLab environment in Gradient -- Getting ready -- How to do it… -- How it works… -- There's more… -- Hello world" for fastai - creating a model for MNIST -- Getting ready… -- How to do it… -- How it works… -- There's more… -- Understanding the world in four applications: tables, text, recommender systems, and images -- Getting ready -- How to do it… -- How it works… -- Working with PyTorch tensors -- Getting ready -- How to do it… -- How it works… -- There's more… -- Contrasting fastai with Keras -- Getting ready -- How to do it… -- How it works… -- Test your knowledge -- Chapter 2: Exploring and Cleaning Up Data with fastai -- Technical requirements -- Getting the complete set of oven-ready fastai datasets -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining tabular datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Examining text datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Examining image datasets with fastai -- Getting ready -- How to do it… -- How it works… -- There's more… -- Cleaning up raw datasets with fastai -- Getting ready -- How to do it… -- How it works… -- Chapter 3: Training Models with Tabular Data -- Technical requirements -- Training a model in fastai with a curated tabular dataset -- Getting ready -- How to do it… -- How it works… -- Training a model in fastai with a non-curated tabular dataset -- Getting ready Electronic books Erscheint auch als Druck-Ausgabe 978-1-80020-999-2 https://portal.igpublish.com/iglibrary/search/PACKT0006021.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Ryan, Mark 1962- Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_auth | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_exact_search | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_exact_search_txtP | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_full | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_fullStr | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_full_unstemmed | Deep Learning with Fastai Cookbook Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| title_short | Deep Learning with Fastai Cookbook |
| title_sort | deep learning with fastai cookbook leverage the easy to use fastai framework to unlock the power of deep learning |
| title_sub | Leverage the Easy-To-use Fastai Framework to Unlock the Power of Deep Learning |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0006021.html |
| work_keys_str_mv | AT ryanmark deeplearningwithfastaicookbookleveragetheeasytousefastaiframeworktounlockthepowerofdeeplearning |