TensorFlow 2.0 in Action
To demonstrate what we can do with TensorFlow 2.0, we will be implementing a GAN mode using the Keras API and generative models.
By
Alvin Koontz
Articles
By
Alvin Koontz
Move Quickly, Think Deeply: How Research Is Done @ Paperspace ATG
In this post, we'll be giving a broad overview of the tools and practices the Advanced Technologies Group, or ATG, uses to explore various research, in the form of a high level research workflow.
By
Harsh Sikka
Implementing Gradient Descent in Python, Part 1: The Forward and Backward Pass
In this tutorial, which is the Part 1 of the series, we are going to make a worm start by implementing the GD for just a specific ANN architecture in which there is an input layer with 1 input and an output layer with 1 output.
4 years ago
6 Interesting Deep Learning Applications for NLP
Read on to discover deep learning methods are being applied in the field of natural language processing, achieving state-of-the-art results for most language problems.
4 years ago
Building a State of the Art Bacterial Classifier with Paperspace Gradient and Fast.ai
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
By
Harsh Sikka
3D
public
Basics of Adding Background Images And Textures To Your 3-D Models
Part one of series about 3-d modeling with python scripting in Blender.
By
Bharath K
Featured
public
Announcement
Train ML Models on Free Cloud GPUs ⚡
We’d like to introduce you to our new way to run GPU-enabled Jupyter Notebooks in the cloud— absolutely free!
4 years ago
PyTorch 101, Part 5: Understanding Hooks
In this post, we cover debugging and Visualisation in PyTorch. We go over PyTorch hooks and how to use them to debug our backpass, visualise activations and modify gradients.
4 years ago
PyTorch 101, Part 4: Memory Management and Using Multiple GPUs
This article covers PyTorch's advanced GPU management features, including how to multiple GPU's for your network, whether be it data or model parallelism. We conclude with best practises for debugging memory error.
4 years ago
