| Title:
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DEEP COGNITIVE NETWORKS
ENHANCE DEEP LEARNING BY MODELING HUMAN COGNITIVE MECHANISM |
| By: |
Yan Huang |
| Format: |
Paperback / softback |
| List price:
|
£39.99 |
| Our price: |
£33.99 |
| Discount: |
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| You save:
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£6.00 |
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| ISBN 10: |
9819902789 |
| ISBN 13: |
9789819902781 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SPRINGER VERLAG, SINGAPORE |
| Pub. date: |
31 March, 2023 |
| Edition: |
1st ed. 2023 |
| Series: |
SpringerBriefs in Computer Science |
| Pages: |
62 |
| Description: |
Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. |
| Illustrations: |
1 Illustrations, black and white; X, 62 p. 1 illus. |
| Returns: |
Returnable |