11.21.22~ Needed cameras because I was traveling out of town for a few weeks. I adore our inner Victure, yet it grew old. no longer works with apps. Despite the difficulties encountered during the Dual Band switch, the Kasa nursery cam continues to endure. chose this Eufy with the same features and the Kasa exterior. How did I choose those two? Desired: Dual band, SD card compatible, free monitoring with a good software. Because, in case you didn't know, app reviews are just as crucial as the camera. Kasa is TP Link, so she was aware of the quality of their app. Good-ish, although theirs is far worse than mine. I have Arlo. I'll never see that $300 again, plus this was fifty bucks. I was searching for something else. Finished with fancy and poor CS. Kasa prevailed after two weeks without my being able to reset it if it failed. The Eufy app kept stopping. Details about this 2k 4Mp device include: * Live and playback capabilities * The ability to take pictures or record videos in playback mode * Clear as daylight at noon in the picture. even through a window and on Zoom. Zooming is possible, but there isn't a pan. What

Goproの撮影で使っています。 レシーバー、マイクともにサイズは思ったよりコンパクトなかんじでとても使いやすいです。 レシーバーはメディアモジュラーのホットシューにも問題なく取り付けられます。 コンパクトなのでGoproのようなアクションカムでもそんなに邪魔になるかんじはありません。 ワイヤレスマイクはさらにコンパクトでウインドウジャマーも付けられます。 軽いのでTシャツの襟に付けてもそんなにTシャツがタレたりしません。 音質は非常にクリアでくっきりとした音が拾えます。 指向性が強く余計な音を拾いにくいこともあり個々の会話を録音する時に重宝します。 メディアモジュラーのマイクでは拾いにくい動きながらの会話でもきれいに録音できます。 反面、指向性が強いぶん逆に言えば広く音を拾いたい時には少し不向き。 説明書が英語と中国語のみではありますが、使い方はさほど難しくはないのですぐに慣れるかと思います。 とは言え日本で販売するのであれば日本語の説明書きも用意して欲しいところです。

For those looking to get right in and start creating efficient Al systems right away, this book is a great introduction to Deep Learning. Currently, the majority of literature solely address the theoretical underpinnings of neural networks, despite the abundance of basic books on deep learning. Rather, this book bridges the knowledge gap between theory and practice by providing useful details about the particular instruments and methods required to create a deep learning system. The book covers a number of software tools, including Tensorboard, the What-If tool, Keras Tuner, AutoAugment, and AutoKeras, that are necessary to achieve the highest level of accuracy from a machine learning pipeline. As a result, the majority of the chapters focus on ideas that are crucial for the majority of engineers working in industry, such as latency, speed, battery life, scalability, and resource utilization. It takes trial and error to gain intuition as to why a certain approach is quicker, more accurate, or less expensive. It is inevitable that practitioners will learn these ideas throughout time, thus being conversant with them from the start and having a resource available