In this post, we’ll learn how to implement a Convolutional Neural Network (CNN) from scratch using Keras. Here, we show a CNN architecture similar to the structure of VGG-16 but with fewer layers. We ...
Variational Autoencoder in TensorFlow
Deep Learning has already surpassed human-level performance on image recognition tasks. On the other hand, in unsupervised learning, Deep Neural networks like Generative Adversarial Networks ( GANs ) ...
Deep Learning based Human Pose Estimation using OpenCV
In this tutorial, Deep Learning based Human Pose Estimation using OpenCV. We will explain in detail how to use a pre-trained Caffe model that won the COCO keypoints challenge in 2016 in your own ...
Number of Parameters and Tensor Sizes in a Convolutional Neural Network (CNN)
In this post, we share some formulas for calculating the sizes of tensors (images) and the number of parameters in a layer in a Convolutional Neural Network (CNN). This post does not define basic ...
Understanding Autoencoders Using Tensorflow (Python) – Denoising Autoencoders
In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an example. In ...
NVIDIA DIGITS 3 on EC2
So you have heard a lot about Deep Learning and Convolutional Neural Network, and you want to quickly try it out. But before you dive into the theory you want to get your hands dirty. And you don't ...