In François Chollet's Deep learning with Python, he teaches how to build image classification models using ImageDataGenerators. Let's look into how these are made and how to use them. tf.keras.preprocessing.image.ImageDataGeneratorGenerate batches of tensor image data with real-time data augmentation.TensorFlow Basic usage Use images in a

I recently started dabbling in TensorFlow by training an image classifier. My classifier has a few classes, and instead of blindly judging its accuracy, I decided to look at the confusion matrix to see which classes it recognized well and which it didn't. Multiclass classifier In TensorFlow, there's a function

I was following a code sample to visualize convnet filters from Chollet's book. And because of TensorFlow 2's API change, the original code breaks telling us to use tf.Gradient. Note that this is a work in progress. I have not managed to fix it yet. Background Originally, Chollet's piece

The basic trade off is well-known. If you use an online VM like Google's Colab or Amazon's EC2 instances, you don't need hardware, but the cost of running the VMs will get expensive later. If you self-host, you need to buy some dedicated hardware, most likely a graphics card. TLDR: