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

Benchmarking a Computer Vision Deep Learning Pipeline with Distributed Computing

Blogs from ODSC Speakers Deep Learning Modeling Computer Vision East 2022posted by ODSC Community March 4, 2022

Editor’s Note: Jennifer is a speaker for ODSC East 2022. Be sure to check out her talk, “Creating a Benchmark for a Large-Scale Image Captioning Pipeline,” to learn more about computer vision deep learning there! Computer vision has an essential role in solving some of the... Read more

TensorFlow for Computer Vision – Transfer Learning Made Easy

Deep Learning Modeling TensorFlow Transfer Learningposted by Dario Radečić March 4, 2022

Writing neural network model architectures from scratch involves a lot of guesswork. How many layers? How many nodes per layer? What activation function to use? Regularization? You won’t run out of questions any time soon. Transfer learning takes a different approach. Instead of starting from scratch,... Read more

Melting Pot and the Reverse-Engineering Approach to Multi-Agent Artificial General Intelligence

Blogs from ODSC Speakers Deep Learning Modeling deepmind East 2022 Melting Pot Reinforcement Learningposted by ODSC Community February 15, 2022

Editor’s Note: Joel is a speaker for ODSC East 2022. Be sure to check out his talk, “Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot,” there! Homo sapiens are a funny species. Along most of the traditionally studied domains of intelligence, we do not outshine... Read more

Recap of the First ODSC Ai+ Deep Learning Bootcamp Session

Deep Learning Modeling AI Plusposted by ODSC Team February 10, 2022

We recently finished our first session of Jon Krohn’s Deep Learning Bootcamp, and we’re already excited for part 2. Here are a few highlights from the session, some thoughts from attendees, and what to expect from part 2 and beyond. Session 1 Recap: How Deep Learning... Read more

Guidelines for Choosing an Optimizer and Loss Functions When Training Neural Networks

Deep Learning Modeling Neural Networkposted by April Miller February 7, 2022

There’s no one right way to train a neural network. These models serve various functions with multiple data sets, so what produces a high-performing model in one instance may not in another. As a result, effective training relies on a series of tools and strategies. Two... Read more

The ODSC Warmup Guide to Keras

Deep Learning Downloadable Guide Modeling Kerasposted by ODSC Team February 1, 2022

Keras is a Python library for deep learning. Deep learning is a sub-branch of artificial intelligence that focuses on solving complex computations by emulating the working process of a human brain. Neural networks, computational graphs composed of nodes representing multiple operators for breaking down the tasks... Read more

Google AI Proposes Temporal Fusion Transformer for Multi-Horizon Time Series Forecasting

Deep Learning Modeling Time Seriesposted by April Miller January 24, 2022

Time series forecasting is a useful data science tool for helping people predict what will happen in the future based on historical, time-stamped information. Google researchers recently explained how they developed and used the company’s Temporal Fusion Transformer (TFT) to achieve more progress with these types... Read more

Facebook AI and University of Guelph Open-Sources GHN-2 for Fast Initiation of Deep Learning Models

Deep Learning Modeling Research GHN-2posted by April Miller January 13, 2022

Deep learning has massive potential, but it’s often hard to achieve. These models’ complexity requires extensive training before they’re ready for use, making implementation long and often expensive. Facebook AI Research (FAIR) and the University of Guelph may have found a potential solution. In a recent... Read more

Jon Krohn on Deep Learning Advancements, PyTorch Lightning, and Going Beyond ML

Deep Learning Modeling AI Plus Interview Jon Krohnposted by ODSC Team January 12, 2022

Deep learning is becoming commonplace, as more and more companies are looking to take a deeper dive into their data – and going beyond just machine learning. We recently spoke with Dr. Jon Krohn about his upcoming deep learning bootcamp, what tools he uses, what platforms... Read more

Reviewing the TensorFlow Decision Forests Library

Deep Learning Modelingposted by Parul Pandey January 4, 2022

In their paper, Tabular Data: Deep Learning is Not All You Need, the authors argue that while deep learning methods have shown tremendous success in the image and text domains, traditional tree-based methods like XGBoost still continue to shine when it comes to tabular data. The authors... Read more