Abstract
This article details the process of creating and training a neural network for the task of classifying dog and cat images using TensorFlow and the MobileNetV2 architecture. Data preparation and preprocessing, including image resizing and normalization, are described. Details of the integration of the pre-trained MobileNetV2 model are given, the process of pre-training the model on specific data is demonstrated, as well as methods of model construction and optimization, including the addition and tuning of additional layers. Special attention is paid to practical application of the trained model for classification of new images, including loading, processing, prediction and visualization of results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
