Understanding GauGAN Part 3: Model Evaluation Techniques
In Part 3 of the GauGAN series we cover how to evaluate model performance, and how GauGAN compares to models like Pix2PixHD, SIMS, and CRN.
5 years ago
Tutorial
Understanding GauGAN Part 2: Training on Custom Datasets
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
5 years ago
Deploying Deep Learning Models Part 2: Hosting on Paperspace
In part two of deploying deep learning models, learn how to host on Paperspace.
By
Vihar Kurama
Implementing CycleGAN for Age Conversion
In this tutorial we'll train CycleGAN with Keras to generate images which age a subject's face, either forwards or backwards.
5 years ago
Implementing Gradient Descent in Python, Part 4: Applying to Any Number of Neurons
In this tutorial, we extend our implementation of gradient descent to work with a single hidden layer with any number of neurons.
6 years ago
Neural Machine Translation with TensorFlow
Learn how to build build a recurrent neural network to do French to English translation using Google's open-source machine learning library, TensorFlow.
6 years ago
Implementing Gradient Descent in Python, Part 3: Adding a Hidden Layer
In the third part of this series, the implementation of Part 2 will be extended for allowing the GD algorithm to work with a single hidden layer with 2 neurons.
6 years ago
Unpaired Image to Image Translation with CycleGAN
This article gives insights into the working mechanism of a Generative Adversarial Network and one of its popular variants, the Cycle Consistent Adversarial Network.
6 years ago
Implementing Gradient Descent in Python, Part 2: Extending for Any Number of Inputs
This is the second tutorial in the series which discusses extending the implementation for allowing the GD algorithm to work with any number of inputs in the input layer.
6 years ago
