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Dive into AI and deep learning with Professor Pieter Abbeel in this less than 1-hour session from The Full Stack. Explore ImageNet, speech recognition, and more.
Join The Full Stack's livecoding session with Charles, exploring the Factored Cognition Primer by Ought in a 2-3 hour workload.
Learn to test and deploy machine learning projects with Sergey Karayev from The Full Stack. Topics include AB testing, software engineering, Docker, and serverless deployment.
Learn to troubleshoot deep neural networks with Josh Tobin in a 1-2 hour session from The Full Stack's March 2019 bootcamp.
Explore data management in deep learning with Sergey Karayev from The Full Stack. Learn about data labeling, storage, versioning, and processing in under an hour.
Learn about the AI talent gap, machine learning roles, team structures, and hiring process in less than an hour with The Full Stack.
Learn from Lukas Biewald, founder of Figure Eight and Weights & Biases, about his journey in machine learning and AI. This less than 1-hour material from The Full Stack offers insights into deep learning, data science, and real-world applications.
Learn to track experiments in text recognizer projects using Weights & Biases with Josh Tobin, in less than an hour, offered by The Full Stack.
Learn about infrastructure and tooling for deep learning projects, including on-premise vs cloud GPU machines, experiment tracking, and AWS SageMaker with The Full Stack.
Learn to recognize text with deep learning in a 1-2 hour program by The Full Stack. The program includes project setup, deployment, workflow, and model training.
Learn to set up ML projects with Josh Tobin from The Full Stack, focusing on pose estimation, project lifecycle, metric selection, and creating human baselines. (1-2 hours)
Learn to set up Machine Learning projects professionally with The Full Stack. Understand the ML lifecycle, project feasibility, archetypes, and the importance of metrics and baselines.
Learn about transfer learning in computer vision, NLP's ImageNet moment, and the rise of Transformers in less than an hour with The Full Stack.
Dive deep into Recurrent Neural Networks with The Full Stack's 1-2 hour material, covering sequence problems, RNN architecture, LSTM variants, and a case study on Google's Machine Translation.
Explore deep learning applications in computer vision with The Full Stack. Understand ConvNet architectures, localization, detection, segmentation, and advanced methods in under an hour.
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