Farid
Design Patterns of Deep Learning with TensorFlow
by Thomas V. Joseph
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ISBN: 9355516495 • Publisher: BPB Publications • Year: 2024
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[color=#ff5555]📂 Category: Computer Technology, Nonfiction
[color=#55acee]🌐 Language: English
[color=#44bb44]📄 Pages: 376
[color=#ff9900]📋 INFO: English | June 6, 2024 | ISBN-10: 9355516495 | 376 pages| PDF (True) | 38 MB
[color=#888888]📝 DESCRIPTION: Architecting AI: Design patterns for building deep learning products
Key Features
● Master foundational concepts in design patterns of deep learning.
● Benefit from practical insights shared by an industry professional.
● Learn to build data products using deep learning.
Description
Design Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective. In this book, we explore deep learning within the context of building hyper-personalization models, exploring its applications across various industries and scenarios. It starts by showing how deep learning enhances retail through customer segmentation and data analysis. You will learn neural networks, computer vision with CNNs, and NLP
[color=#ff9900]📦 Download Info
Folder: Design Patterns Of Deep Learning With TensorFlow
Format: PDF
Total Size: 38.36 MB
📋 File List:
[size=2]
📌 Design Patterns Of Deep Learning With TensorFlow Nodrm.pdf (Thomas V. Joseph) (2024) (37.36 MB)
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