Book
Hands-On One-shot Learning with Python
| Identifier | --shrutijado-414 |
|---|---|
| Penulis / Pengarang | Shruti Jadon and Ankush Garg |
| Kata Kunci | Python |
| Tanggal Publikasi | 05 Apr 2020 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | One-shot learning has been an active field of research for many scientists who are trying to find a cognitive machine that is as close to human beings as possible in terms of learning. As there are various theories as to how humans effect one-shot learning, there are a variety of different methods available to achieve this, ranging from non-parametric models and deep learning architectures to probabilistic models. Hands-On One-shot Learning with Python will focus on designing and learning about models that can learn information relating to an object from one, or only a few, training examples. The book will begin by giving you a brief overview of deep learning and one-shot learning to get you started. Then, you will learn different methods to achieve this, including nonparametric models, deep learning architectures, and probabilistic models. Once you are well versed in the core principles, you will explore some of the practical real-world examples and implementations of one-shot learning using scikit-learn and PyTorch. By the end of the book, you will be familiar with one-shot and few-shots learning methods and be able to accelerate your deep learning processes with one-shot learning. |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 |
2020 Hands-On One-shot Learning with Python Learn to implement fast and accurate deep learning models with fewer training.pdf
One-shot learning has been an active field of research for many scientists who are trying to find a cognitive…
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application/pdf | 13,5 MB | ⬇️ Buka / Download |
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