Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
Jeremy Howard, Sylvain Gugger
Informasi Umum
Kode
21.21.040
Klasifikasi
006.3 - Special Computer Methods- Artificial intelligence
Jenis
Buku - Elektronik (E-Book)
Subjek
Artificial Intelligence
No. Rak
4
Informasi Lainnya
Abstraksi
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.
Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.
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Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Jeremy Howard, Sylvain Gugger |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | O'Reilly Media |
| Kota | New York |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
