TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
Pete Warden, Daniel Situnayake
Informasi Umum
Kode
20.21.1489
Klasifikasi
006.31 - Machine Learning
Jenis
Buku - Elektronik (E-Book)
Subjek
Machine Learning
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3
Dilihat
1142 kali
Informasi Lainnya
Abstraksi
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.
Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.
- IEG4I3 - OTOMASI INDUSTRI
- TKI4F3 - PEMBELAJARAN MESIN
- TTI7M3 - TOPIK PILIHAN 2
- CDK2MAB3 - Pembelajaran Mesin
Koleksi & Sirkulasi
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Pengarang
| Nama | Pete Warden, Daniel Situnayake |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | O'Reilly Media |
| Kota | New York |
| Tahun | 2019 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
