30 recent reviews.
A comprehensive guide to TinyML, this book provides a practical approach to edge computing and machine learning on resource-limited devices. It covers topics like deploying models for boards, working with TensorFlow, and understanding the code it generates. However, some readers have noted that the book is not up to date with the latest TensorFlow version and the provided links do not work. Despite these issues, the book offers valuable insights for data enthusiasts looking to explore new sources of data and interact with the physical world.
This research report is limited to the analysis of 30 recent reviews. Starting from $12, you can buy the complete version of this research report containing all reviews.
This is a decent introductory book, but significant portions of TensorFlow Lite have changed since the book was written. As a result, the high level concepts still apply, but the specific details described are no longer accurate.
Tried using the first few links to download from GitHub and none of the links work. The book is worthless without being able to download the example excercises.
Looks like every git link in the code is removed, and entire Arduino code base is deleted
Mostly good and useful information probably would be better to remove the boilerplate code in the book and just point people to the relevant GitHub projects.
It has the right amount of details and combines theory and hands-on approach. I have totally enjoyed reading it, and looking forward to apply the gained knowledge to real applications.
High cost but no good content. Some projects are given. No depth discussion. Dont buy it.
Its probably the only book that is available on tinyML. Quite practical and no-nonsense approach to edge computing.
The book is easy to understand, and the code is available on the internet for different boards, so it is easy to follow along.
The book is out of date, some conceptions just skipped
Excellent introduction to machine learning on the edge. Well written and with easily accessible code examples.
Help us to improve this report.
See other research reports created by our community members from Amazon reviews.
30 recent reviews.
This product is expensive and has issues with the blades breaking easily. The battery life is weak and it is not durable. The charger is inconvenient and the warranty is not respected. Overall, it is not recommended.
30 reviews between Apr 25, 2023 and Oct 08, 2023.
Vade meal replacement packs are convenient and delicious, providing a quick and easy solution for busy mornings. With flavors like chocolate, vanilla, and strawberry, these packs mix well with water or almond milk. They are a great source of protein and low in calories, making them suitable for weight loss. The product dissolves easily and leaves no chalky aftertaste. Overall, Vade offers a tasty and convenient meal replacement option for those on the go.
30 reviews between Jun 27, 2022 and Sep 24, 2023.
These teething feeders are a convenient and safe option for introducing fruits and flavors to babies while soothing their teething gums. They are easy to clean and can be filled with frozen breastmilk or fruit puree. The feeders come with extra nipples and offer great value for money. However, some users have found issues with the design, as the food can fall out easily. Overall, they are a recommended product for teething babies.
Kimola provides resources to enhance your market research knowledge, providing tutorials, tips and tricks and best practices for different research scenarios.
This page is a research report based on the analysis of online reviews collected from Amazon. It contains the top 30 recent reviews with their sentiment analysis, content classifications and trend graph to display the change over time. You can search in reviews and filter results based on sentiment and content classifications. Also, all the reviews and analyses are available to download as an Excel file.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media. Also, you can download this report in Excel file format with all the reviews and analyses.
Yes, you can, and this is the fun part about Kimola! Kimola offers a variety of free research tools that turn online customer feedback into comprehensive research reports. You can use these tools for different platforms like Amazon, Trustpilot, Tripadvisor, Google Play, and App Store to create your own research reports.
Yes, you can have this research report with more reviews analyzed. The page you are viewing is limited to the analysis of 30 recent reviews. Starting from $12, you can buy the complete version of this research report containing all reviews. Click here you can see the options.
Besides free research tools, Kimola also offers software products to collect, analyze and classify customer feedback. Kimola Analytics automatically tracks customer feedback on social media channels, e-commerce sites and articles from news portals. If you already use a tool to collect customer feedback, you can try Kimola Cognitive to upload your existing data for text analysis with sentiment and content classification.
We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.