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Tasty Total Comfort: Cozy Cooking with a Modern Touch: An Official Tasty Cookbook

為了解決Product photos的問題，作者Tasty 這樣論述：

75 Tasty recipes for your favorite comfort food from around the world, with plenty of surprises and wow-factors to keep things interesting. This is Tasty, after all.Tasty knows that American comfort food encompasses a multitude of cuisines, flavors, and recipes from diverse cultures. Inspired by con

temporary ingredients, Tasty Total Comfort brings the brand’s tried and true formula--easy-to-follow, accessible recipes with exciting, entertaining spins--to nostalgic classics, including SpaghettiOs alla Vodka, Huevos Rancheros Breakfast Tostadas, Korean Hot Dogs, Purple Boba Tea, and Pigs-in-a-Bl

anket Pull-Apart Bread. And for dessert (preferably at every meal), all your childhood favorites, with new glow-ups--Fried Mini Oreo Bites, Spumoni Sundae Brownies, Japanese Matcha Pudding Cups, and Eid Moon Cookies--are here for you, too. Playful, vibrant photography and plenty of step-by-step phot

os make this cookbook as cozy and comforting as your favorite home-cooked meal, whether that’s Shrimp Pad Thai, Eggplant Parm Casserole, Creole Red Beans & Rice, or Fried Chicken Adobo. Tasty is the world’s largest social food network, reaching more than 500 million people around the globe with it

s signature fun, easy, and delicious video recipes. The brand is focused on making cooking practical and accessible for beginner cooks and expert chefs alike. Launched in 2015, Tasty has attracted more than 65 billion video views and is the biggest franchise on Facebook, reaching one in four users e

very month. It has studios in Los Angeles, New York, London, Paris, Berlin, Mexico City, and São Paulo, and a full product line including cookbooks, pots and pans, kitchen gadgets, and an assortment of grocery items spanning the wine section to frozen foods.

Product photos進入發燒排行的影片

車道辨識之卷積神經網路架構設計

為了解決Product photos的問題，作者黃孟涵 這樣論述：

本論文設計並實作一款應用於車道辨識之卷積神經網路 (Convolutional neural network, CNN) 模型。首先，製作了一台架設160度廣角相機之輪型機器人，並分別使用手動及無線搖桿二種方式，控制輪型機器人在車道場地上行走在不同的位置上同時拍攝照片，蒐集到的照片作為卷積神經網路之訓練及測試資料集。接下來，使用PyTorch作為深度學習框架，包含定義CNN架構、訓練及測試模型。經過數個不同的模型參數的測試，包含隱藏層層數、全連接層之神經元數量、學習率和兩種不同的優化器等。最後設計完成之CNN模型包括：輸入層為3×220×220的三維矩陣，輸出層為5個類別的分類節點，隱藏層由

2層卷積層、2層池化層及2層全連接層所組成。此模型在車道辨識的準確率可達到99.6%。訓練完成之CNN模型被實現在輪型機器人的微控制器中，並在實驗車道場地上進行測試。實驗結果顯示在整體的測試例中，CNN模型的判斷準確率為92.5%，但在輪型機器人處於道路右側進行右轉的條件下，CNN模型準確率僅82.5%，還需進一步研究及改善。

Happy Baby Picture Book: No-Text, Gift Book for Seniors with Dementia and Alzheimer’s Patients

為了解決Product photos的問題，作者Mueller, Gunnilda 這樣論述：

Looking for perfect gift to connect with your dear ones experiencing cognitive loss?＂Happy Baby Picture Book＂ contains 40 Premium Baby Photos color printed on quality 60lb paper.No-text picture books are specifically formatted for those who enjoy looking through a book yet struggle with reading.T

his is a Level 1 book for cognitive loss.They are very popular as picture books for people with dementia, and are also suitable for: People who have had strokes, brain injuries, strokes or any cognitive lossParkinson’s diseaseAlzheimer’s diseasePicture Books for people with Dementia: Picture books c

an be a useful tool as they help promote conversation & dialogue, which in turn can have a whole host of benefits: Helps alleviate boredomCan help combat depressionReduces isolation between individuals when used as group therapy, for example in care homesIncreases relationship levels between ind

ividuals & carers, as pictures help promote conversation about life events in a casual & non-invasive mannerThe pictures used in these books were specifically chosen for people with Alzheimer’s & dementia, there is a large variety of Happy Baby images that help soothing and relaxing.Our

books make great presents, care home activities, or simply a brilliant reminiscence product.

平台事業的啟動策略與信任建構：個案研究–毛小愛

為了解決Product photos的問題，作者Thi Anh Thu Dinh 這樣論述：

More and more Taiwanese people, especially the young generation, are changing lifestyles when choosing to raise a pet instead of having children. A Council of Agriculture survey finds that households in Taiwan are projected to have almost 3 million pet cats and dogs in the second half of 2020, almo

st double the number in 2006. The dramatic rise in pet ownership has brought a surge in the country’s pet-care industry and led to the growth of relevant businesses in Taiwan. Keai Creative Technology Company Limited, as an entrepreneur company in Taiwan, has captured great opportunities to venture

into a pet-care industry under the platform business model that is Fluv as known as Mao Xiao Ai (hereinafter referred to as “Fluv”), a pet care sharing economy platform. Fluv is a platform that specifically connects the pet parent with the pet sitter who would like to take care of other pets.Buildin

g a platform is really hard, and how to develop the platform is a difficult question that needs to be resolved by a platform owner. Therefore, understanding the specific strategies of a platform applied in each stage of development is the overall goal of this research work. The primary strategies me

ntioned in this research are mostly related to the launching strategies, platform governance and building trust in the perspective of sharing ecommerce.This thesis adopts case study to analyze the Fluv’s business model, platform and competitive strategy that the company uses to enter a new market in

particular so as to help platform entrepreneurs and managers tackle the challenges of value creation and value capture in general. The data is collected from an in depth-interview conducted with the Fluv founder – Candace, CEO, that helped in development for this discussion. In this research, vario

us issues are considered and potential platform strategies are recommended for the improvement of those problems.