Build a Deep CNN Image Classifier with Any Images

Learn how to build a deep convolutional neural network (CNN) image classifier from scratch using Python, TensorFlow, and Keras in this comprehensive 1-hour 25-minute tutorial. Discover techniques for creating a data pipeline, preprocessing images, constructing and training a deep neural network, evaluating performance, and saving the model. Follow along as the instructor guides you through each step, from installing dependencies and collecting data from Google Images to scaling and partitioning the dataset. Gain hands-on experience in building and training the network, plotting model performance, and testing on new data. By the end of this tutorial, you'll have the skills to create your own image classifier using any dataset of your choice.