This is an image classification model that uses a convolutional neural network to classify 6 different images from the Intel Natural Science dataset. The model achieved a validation accuracy of 0.7557 and is a great starting point to learn TensorFlow and Keras.
You can find more information on how to build models on https://www.tensorflow.org/.
Main Technologies used were: Tensorflow, Python