How to Classify Natural Scenes Using Tensorflow, Python, and CNN

Learn to classify natural scenes using TensorFlow and convolutional neural networks in this 35-minute video tutorial. Build and train a CNN model to detect scenes in new images using Python, TensorFlow, and Keras. Follow along as the instructor guides you through installing necessary Python libraries, downloading and preparing the dataset, creating the CNN model, and testing it on new images. Gain practical experience in image classification and deep learning techniques, with code and instructions available on GitHub. The tutorial also includes recommendations for hardware and additional resources to further your machine learning journey.

Intro :
Installation - Python libraries
Download the dataset and prepare the folders
Create the CNN model using Python
Test the model - Predict a new image