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Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset

Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset

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1 Concept | 6 Assessments | 404 Learners

Welcome to this project on Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset. In this project, we will understand how to use the TensorFlow 2 platform to build a simple classifier using Convolutional Neural Networks(CNNs).

CNNs have been one of the state-of-art tools in the current era of Computer Vision. The present-day deep learning and computer vision communities find numerous applications of CNNs in classification tasks and object detection use cases. These use cases have formed the basis of many real-time applications like self-driving cars, face recognition apps, satellite photo analysis and classification, and many more. Thus, it is very important for a Computer Vision aspirant to learn how CNNs work practically, which is the aim of this project.

This topic is part of below listed courses -

Computer Vision

Instructor:

Machine Learning Engineer @ CloudxLab