Learn how to build and train your first Image Classification model with Keras and TensorFlow using Convolutional Neural Network. By Aryan Garg.
AI has gone so far now, and various state-of-the AI models are evolving that are used in Chatbots, Humanoid Robots, Self-driving cars, etc. It has become the fastest-growing technology, and Object Detection and Object Classification are trendy these days.
Here is the complete workflow of this tutorial:
- Importing necessary libraries
- Loading of the data
- Preprocessing of the data
- Building the model
- Evaluating the model performance
This article shows the entire process of building and training a Convolutional Neural Network from scratch. We got around 75% accuracy. You can play with the hyperparameters and use different sets of convolutional and pooling layers to improve the accuracy. Nice one!
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