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Project - How to Build a Neural Network for Image Classification with TensorFlow

Project - How to Build a Neural Network for Image Classification with TensorFlow

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1 Concept | 7 Assessments | 560 Learners

Welcome to the project on Building a Neural Network for Image Classification with TensorFlow. In this project, we would learn how to develop a neural network classifier from very scratch, using TensorFlow 2.

We would build and train a dense neural network on the Fashion MNIST dataset and evaluate its performance with some test samples. This project aims to impart the knowledge of the basic steps involved in building a neural network, working with TensorFlow 2, training a neural network, and make the learner comfortable with the cutting-edge technology - TensorFlow 2.

Skills you will develop:

  1. TensorFlow 2
  2. Matplotlib
  3. Python Programming
Attempted by

Garikapati
Trishita
Ashish Prasad Verma
Swapnil

and 556 more

This topic is part of below listed courses -

Computer Vision | Natural Language Processing | MLOps Certification Training | Post Graduate certification in Applied Data Science and AI, IIT Roorkee | PG Certificate Program in Data Science & AI By CEC, IIT Roorkee

Instructor:

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