Deep Learning Examples with PyTorch and fastai: A Developers' Cookbook
暫譯: 使用 PyTorch 和 fastai 的深度學習範例:開發者食譜
Mayr Mba, Bernhard J.
- 出版商: Independently Published
- 出版日期: 2020-09-29
- 售價: $1,800
- 貴賓價: 9.5 折 $1,710
- 語言: 英文
- 頁數: 342
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798689431499
- ISBN-13: 9798689431499
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相關分類:
DeepLearning
無法訂購
相關主題
商品描述
The concept of Deep Learning utilizes deep neural nets to accomplish task from artificial intelligence like:
- Computer Vision: Image Classification, Object Detection / Tracking
- Natural Language Understanding: Text Analyses, Language Translation, Image Caption Generation...
- ...
The Book Deep Learning Examples with PyTorch and fastai - A Developers' Cookbook is full of practical examples on how to apply the deep learning frameworks PyTorch and fastai on different problems.
What's inside the book?
- Build an Image Classifier from Scratch
- How does SGD - Stochastic Gradient Descent - work?
- Multi-Label Classification
- Cross-Fold-Validation
- FastAI - A Glance on the internal API of the deep learning framework
- Image Segmentation
- Style-Transfer
- Server deployment of deep learning models
- Keypoints Detection
- Object Detection
- Super-resolution GANs
- Siamese Twins
- Tabular Data with FastAI
- Ensembling Models with TabularData
- Analyzing Neural Nets with the SHAP Library
- Introduction to Natural Language Processing
商品描述(中文翻譯)
深度學習(Deep Learning)的概念利用深度神經網絡(deep neural nets)來完成人工智慧的任務,例如:
-
計算機視覺(Computer Vision): 圖像分類、物體檢測/追蹤 -
自然語言理解(Natural Language Understanding): 文本分析、語言翻譯、圖像標題生成... - ...
本書《使用 PyTorch 和 fastai 的深度學習範例 - 開發者食譜(Deep Learning Examples with PyTorch and fastai - A Developers' Cookbook)》充滿了如何在不同問題上應用深度學習框架 PyTorch 和 fastai 的實用範例。
書中內容包括什麼?
- 從零開始建立圖像分類器
- 隨機梯度下降(SGD - Stochastic Gradient Descent)是如何運作的?
- 多標籤分類
- 交叉驗證(Cross-Fold-Validation)
- FastAI - 深度學習框架的內部 API 概覽
- 圖像分割
- 風格轉換(Style-Transfer)
- 深度學習模型的伺服器部署
- 關鍵點檢測
- 物體檢測
- 超解析度 GANs
- 孿生網絡(Siamese Twins)
- 使用 FastAI 處理表格數據
- 使用表格數據進行模型集成
- 使用 SHAP 庫分析神經網絡
- 自然語言處理簡介