A Guide to Global Pooling in Neural Networks
We explore what global average and max pooling entail. We discuss why they have come to be used and how they measure up against one another.
Implementing Seq2Seq Models for Text Summarization With Keras
This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, applications, and how to bring them to life using Keras.
Writing CNNs from Scratch in PyTorch
One of the best ways to learn about convolutional neural networks (CNNs) is to write one from scratch! In this post we look to use PyTorch and the CIFAR-10 dataset to create a new neural network.
Object Detection Using Mask R-CNN with TensorFlow 1.14 and Keras (TENSORFLOW-2-0)
Learn how to perform object detection and instance segmentation using Mask R-CNN with TensorFlow 1.14 and Keras.
WGAN: A Guide to Wasserstein Generative Adversarial Networks
Learn about WGAN (Wasserstein Generative Adversarial Networks), how they work, advantages over traditional GANs, and applications in deep learning.
Advanced Recurrent Neural Networks: Bidirectional RNNs
This series gives an advanced guide to different recurrent neural networks (RNNs). You will gain an understanding of the networks themselves, their architectures, their applications, and how to bring the models to life using Keras.
Writing ResNet from Scratch in PyTorch
In this continuation on our series of writing DL models from scratch with PyTorch, we learn how to create, train, and evaluate a ResNet neural network for CIFAR-100 image classification.
A Review of Popular Deep Learning Architectures: AlexNet, VGG16, and GoogleNet
This review explores three foundational deep learning architectures—AlexNet, VGG16, and GoogleNet—that have significantly advanced the field of computer vision.
U-Net Architecture For Image Segmentation
Image segmentation makes it easier to work with computer vision applications. We look at U-Net, a convolutional neural network.
Object Detection Using Mask R-CNN with TensorFlow 1.14 and Keras (TENSORFLOW-1-X)
URL: https://www.progressiverobot.com/mask-r-cnn-in-tensorflow-1-x/ > Editors note: This article was originally released in November of 2020, and some of it's information is outdated. The core theory shown is nonetheless backed up by solid research, however, and the code is still executable. Mask R-CNN is an object detection model based on deep convolutional neural networks (CNN) developed by […]
