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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pattanayak, Santanu | - |
| dc.date.accessioned | 2024-01-24T02:00:04Z | - |
| dc.date.available | 2024-01-24T02:00:04Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9121 | - |
| dc.description.abstract | Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. | vi |
| dc.format.extent | 667ps | vi |
| dc.language.iso | en | vi |
| dc.publisher | Apress | vi |
| dc.subject | Artificial Intelligence | vi |
| dc.subject | Python | vi |
| dc.subject | Trí tuệ nhân tạo | vi |
| dc.title | Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | 1-Trí tuệ nhân tạo | |
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