Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Practical Computer Vision Applications Using Deep Learning with Cnns: With Detailed Examples in Python Using Tensorflow and Kivy

Practical Computer Vision Applications Using Deep Learning with Cnns: With Detailed Examples in Python Using Tensorflow and Kivy

Gad, Ahmed Fawzy

Paperback

General ComputersProgramming

ISBN10: 1484241665
ISBN13: 9781484241660
Publisher: Apress
Published: Dec 6 2018
Pages: 405
Weight: 1.63
Height: 0.87 Width: 7.00 Depth: 10.00
Language: English
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.

For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.

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