Top 8 Books To Learn Convolutional Neural Networks
Apr 25, 2021 · This book from Benjamin Planche and Eliot Andres will help readers learn how to use convolutional neural networks (CNNs) for visual tasks. The book shows how to identify …
Practical Computer Vision Applications Using Deep Learning
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 …
Hands-On Convolutional Neural Networks with TensorFlow: Solve computer ...
Aug 28, 2018 · Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world …
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Practical Convolutional Neural Networks[Book] - O'Reilly Media
Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python …
Deep Learning CNN: Convolutional Neural Networks with Python…
The course starts with introducing and jotting down the importance of Convolutional Neural Networks (CNNs) in data science. You will then look at some classical computer vision …
Hands-On Convolutional Neural Networks with TensorFlow - Google Books
Aug 28, 2018 · Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world …
Hands-On Convolutional Neural Networks with TensorFlow: Solve computer …
Aug 28, 2018 · Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image …
A Guide to Convolutional Neural Networks for Computer Vision
As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and …
Hands-on convolutional neural networks with TensorFlow : solve computer …
Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object …
Practical Convolutional Neural Networks - Google Books
Feb 27, 2018 · Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and …