レシーバー側で2つのマイクの個別ミュートは出来ないため少し不便な部分もありますが、クリアで良い音の収録が可能でした。 電源投入でこれといった設定も必要なくすぐに利用できる点や、本体の軽さに対しての利用時間の長さ、LEDパネルの見易さなどとても良いと思います。 ピンマイク、ウインドスクリーンなど付属品も一通り揃っているので、この製品だけでとりあえず無線での音声収録が可能です。 とりあえず無線マイクを試してみるには良い商品だと思います。

It was not too long ago that the NAS arrived. Because every step in the rapid setup tutorial is so straightforward, I found it to be quite easy to follow. You can download the entire manual if you require more thorough instructions. It took me approximately five minutes to connect it to the network, switch it on, download the software, install it on my computer, and get it operating. It took me an additional ten minutes to read through folder setup instructions and get everything set up. I could have probably done without the directions because it was that easy. After that, I spent approximately fifteen minutes configuring the DLNA server—something I had never done before—so that it would launch on my Roku TV along with the Roku Media Player. Thus far, everything appears to be operating without a hitch; naturally, time will tell if this continues. Advantages: 1) Considering that it comes with two 2TB hard disks installed, it's really affordable. 2) Really simple setup 3) An extremely user-friendly and basic web interface 4) Quickly got it to function on several PCs and my DLNA Roku. 5) EULA was quite brief and basic.

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