Deep Learning

Table of Contents Neural Machine Translation Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Probabilistic Overview of Neural Machine Translation Math Behind Neural Machine Translation What Lies Ahead? Dataset Summary Citation Information Neural Machine Translation In this…

Table of Contents Introduction to TFRecords Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure What Are TFRecords? Building Your Own TFRecords Build a TFRecord Serialization Advanced TFRecord Generation Summary Reference Citation Information Introduction to TFRecords…

Hey everyone, welcome to another blog post where we talk with students from PyImageSearch. Today we are joined by Peter Ip, a Chief Data Scientist. Ritwik: So Peter, maybe you could start by introducing yourself? What do you do, where…

Table of Contents Long Short-Term Memory Networks Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Modeling Sequential Data with RNNs The Problem with RNNs Long Short-Term Memory Networks Vanishing and Exploding Gradients Training and Visualizations…

Table of Contents Introduction to Recurrent Neural Networks with Keras and TensorFlow Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure What Are Sequential Data A Caveat: Masking and Padding Modeling Sequential Data with MLPs The…

In this tutorial, you will learn how to create U-Net, an image segmentation model in TensorFlow 2 / Keras. We will first present a brief introduction on image segmentation, U-Net architecture, and then walk through the code implementation with a…

In this tutorial, you will learn to use image super resolution. This lesson is part of a 3-part series on Super Resolution: OpenCV Super Resolution with Deep Learning Image Super Resolution (this tutorial) Pixel Shuffle Super Resolution with TensorFlow, Keras,…

In this tutorial, you will learn the concept behind Fully Convolutional Networks (FCNs) for segmentation. In addition, we will see how we can use Torch Hub to import a pre-trained FCN model and use it in our projects to get…

In the previous part of this series, we discussed some state-of-the-art object detection models; YOLOv5 and SSD. In today’s tutorial, we will discuss MiDaS, an ingenious attempt to aid the depth estimation of images. With this tutorial, we will create…