You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In the previous tutorial, we learned the essence behind Torch Hub and its conception. Then, we published our model using the intricacies of Torch Hub and accessed it through the same. But, what happens when our work requires us to…
Read More of Torch Hub Series #2: VGG and ResNet
In this tutorial, you will learn how to perform transfer learning with Keras, Deep Learning, and Python on your own custom datasets. Imagine this: You’re just hired by Yelp to work in their computer vision department. Yelp has just launched…
Read More of Transfer Learning with Keras and Deep Learning
Inside this Keras tutorial, you will discover how easy it is to get started with deep learning and Python. You will use the Keras deep learning library to train your first neural network on a custom image dataset, and from…
Read More of Keras Tutorial: How to get started with Keras, Deep Learning, and Python
A few months ago, I wrote a tutorial on how to classify images using Convolutional Neural Networks (specifically, VGG16) pre-trained on the ImageNet dataset with Python and the Keras deep learning library. The pre-trained networks inside of Keras are capable…
Read More of ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
Normally, I only publish blog posts on Monday, but I’m so excited about this one that it couldn’t wait and I decided to hit the publish button early. You see, just a few days ago, François Chollet pushed three Keras…
Read More of ImageNet classification with Python and Keras
