Deep Learning Guides, Tutorials, Research, and Use-Cases

Why Data Scale Size Matters When It Comes to Improving Deep Learning Model Stability

Deep Learning Modelingposted by April Miller December 12, 2022

Deep learning is one of the most crucial tools for analyzing massive amounts of data. It informs decision-making in every sector, adapting to accuracy the more humans feed it with knowledge. However, there is such a prospect as too much information, as deep learning’s job is... Read more

Understanding Your Neural Network’s Predictions

Deep Learning Modelingposted by ODSC Community November 11, 2022

Neural networks are extremely convenient. They are usable for both regression and classification, work on structured and unstructured data, handle temporal data very well, and can usually reach high performances if they are given a sufficient amount of data. What is gained in convenience is, however,... Read more

TensorFlow Ecosystem for Efficient Deep Learning

Deep Learning Modeling TensorFlow West 2022posted by ODSC Community October 3, 2022

Editor’s note: Amita Kapoor is a speaker for ODSC West 2022 this November 1st-3rd. Be sure to check out her half-day training session, “Deep Learning with Python and Keras (Tensorflow 2),” there! Deep Learning today is a powerful and widely used tool for Artificial Intelligence and... Read more

How to Choose the Right Activation Function for Neural Networks

Deep Learning Modelingposted by April Miller September 26, 2022

Every neural network needs at least one activation function to make accurate predictions. It’s at the heart of the processing capabilities. Choosing the right one can result in a precise, high-performance network consistently delivering the desired results. Data scientists can use an easy process to determine... Read more

Daniel Voigt Godoy on Deep Learning and Starting PyTorch

Deep Learning Modeling Interview PyTorchposted by ODSC Team August 18, 2022

PyTorch has quickly been gaining steam as a leading deep learning framework, with many practitioners choosing it over TensorFlow as their go-to framework of choosing lately. Ahead of his upcoming Ai+ Training session, PyTorch 101, coming up this August 24th, we spoke with Daniel Voigt Godoy,... Read more

Large Scale Deep Learning Using the High-Performance Computing Libraries OpenMPI and DeepSpeed

Deep Learning Modeling West 2022posted by ODSC Community August 1, 2022

Editor’s note: Jennifer Davis is a speaker for ODSC West 2022 coming this November. Be sure to check out her talk, “Large Scale Deep Learning using the High-Performance Computing Library OpenMPI and DeepSpeed,” there! This article covers the use of the message passing interface (MPI) and... Read more

Understanding Your Neural Network’s Predictions

Deep Learning Modelingposted by ODSC Community July 26, 2022

How a Neural Network Sees a Cat

Deep Learning Modeling Microsoftposted by ODSC Community July 12, 2022

As human beings, we know what a cat looks like. But what about neural networks? In this post, we reveal what a cat looks like inside a neural network brain, and also talk about adversarial attacks. Real and Ideal cat. Image on the left is from Unsplash... Read more

Portrait Depth API: Turning a Single Image into a 3D Photo with TensorFlow.js

Blogs from ODSC Speakers Deep Learning Modeling Europe 2022 TensorFlowposted by ODSC Community May 23, 2022

Editor’s note: This article was reposted from the TensorFlow Blog with permission. To learn more about Web ML, be sure to check out Jason Mayes’ session at ODSC Europe 2022 titled “Next Generation Web Apps: Create a Machine Learning Powered Smart Cam in the Browser with... Read more

Practical Quantization in PyTorch

Deep Learning Modeling PyTorchposted by ODSC Community May 10, 2022

Quantization is a cheap and easy way to make your DNN run faster and with lower memory requirements. PyTorch offers a few different approaches to quantize your model. In this blog post, we’ll lay a (quick) foundation of quantization in deep learning, and then take a... Read more