Implement Custom Tensorflow Keras Model on Intel Image Dataset on Kaggle from Scratch

This is a Deep Learning tutorial about implementing Tensorflow Keras Model from beginning to end. The code is written in `.ipynb` Notebook on Google Colab. It is a Convolutional Neural Network. The dataset used is Intel Image Classification from Kaggle. It consists of 6 classes.

Github Link for Notebook: https://github.com/shounak8/AIML_Tutotials/blob/master/Deep_Learning/Tensorflow_Keras/intel_image_classifier/intel_image_keras_custom.ipynb

Github Link for Deep Learning Notebooks: https://github.com/shounak8/AIML_Tutotials/tree/master/Deep_Learning

Kaggle Link for Dataset: https://www.kaggle.com/datasets/puneet6060/intel-image-classification

Email: shounak.python@gmail.com

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