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

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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.

#deeplearning #tensorflow #keras #kaggle #learning #python #aiml #machinelearning #convolutionalneuralnetwork #cnn #neuralnetwork #adam #imagerecognition #imageclassification #classification #github #supervisedlearning

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Very nicely done. Is it possible to show how you would perform hyper parameter tuning for this?

deepakdoddera

Please also make some tutorials on one hot encoding for image dataset

pbipashadevisingha

this sounds little dumb... but is there any reason you used conv1D for also image classification? isnt adding one more conv2d layer more useful for image classificatino training?

otykief

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

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

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