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Deep Reinforcement Learning in the Real World with Anna Goldie
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
Deep Learning for Time Series Analysis: A Keras Tutorial
Learn how to build a deep learning model for time series analysis with Keras 3.0. These step-by-step directions simplify the process and guide you from beginning to end. Building a deep learning model with Keras 3.0 is relatively straightforward. While data collection, model compilation, and training... Read more
Fast Option Pricing Using Deep Learning Methods
Editor’s note: Chakri Cherukuri is a speaker for ODSC Europe 2023 this June. Be sure to check out his talk, “Fast Option Pricing Using Deep Learning Methods,” there! In finance, options are financial instruments that give the holder the right to buy (Call option) or sell... Read more
Why Data Scale Size Matters When It Comes to Improving Deep Learning Model Stability
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
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
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
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
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
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
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