TensorFlow

Chris Lattner: The Future of Computing and Programming Languages | Lex Fridman Podcast #131

Lex Fridman

An open-source machine learning framework developed by Google, where Chris Lattner made key contributions, especially with TPUs and Swift for TensorFlow.

Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74

Lex Fridman

Open-source machine learning framework, mentioned in the context of young researchers thinking problems are solved.

Deep Learning State of the Art (2020)

Lex Fridman

A popular deep learning framework that has converged with PyTorch, adopting eager execution and integrating Keras as its primary API. It also has browser and mobile implementations.

Rajat Monga: TensorFlow | Lex Fridman Podcast #22

Lex Fridman

An open-source library for machine learning and deep learning, evolving into an ecosystem of tools for deployment across various devices and platforms.

Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

Lex Fridman

A machine learning framework that Chris Lattner is involved with, particularly Swift for TensorFlow.

Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19

Lex Fridman

A software library used for machine learning, represented as a graph of computations.

Drago Anguelov (Waymo) - MIT Self-Driving Cars

Lex Fridman

A deep learning framework developed by Google, leveraged by Waymo for its machine learning infrastructure.

Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108

Lex Fridman

A machine learning framework mentioned in the context of human work behind algorithm development.

Open Learning Talks | AI Education: Research and Practice

MIT Open Learning

An open-source machine learning framework, mentioned as too complex for introducing AI concepts to middle schoolers.

E14: Salesforce acquires Slack, DeepMind’s AlphaFold breakthrough, Trust Fund Socialists & more

All-In Podcast

An open-source machine learning framework, mentioned in the context of replicating DeepMind's AlphaFold model given sufficient compute resources.

Self-Driving Cars: State of the Art (2019)

Lex Fridman

A machine learning library mentioned in the context of achieving high accuracy in image classification benchmarks like ImageNet.

Karn Saroya on the Capital-Light Way to Start an Insurance Business

Y Combinator

A deep learning framework used by Cover's computer vision system to identify and catalog property for insurance purposes.

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

Lex Fridman

A deep learning framework mentioned as a choice for implementing reinforcement learning algorithms, alongside PyTorch.

MIT AGI: Cognitive Architecture (Nate Derbinsky)

Lex Fridman

Google's open-source machine learning framework, mentioned as the appropriate tool for tasks like object detection, contrasting with the applications of cognitive architectures like Soar.

Deep Learning State of the Art (2019)

Lex Fridman

A widely used open-source deep learning framework that has matured significantly, with upcoming features in TensorFlow 2.0 enhancing usability.

Deep Learning Basics: Introduction and Overview

Lex Fridman

An open-source deep learning library developed by Google, widely used for building and training neural networks. The course utilizes its high-level API, Keras.

100 Firebase Tips, Tricks, and Screw-ups

Fireship

Python for AI #4: Model Hubs & HuggingFace Tutorial

AssemblyAI

Python for AI #1: Dev Environment Setup

AssemblyAI

DOGE vs USAID, Crypto Framework, Google's $75B AI Spend, US Sovereign Wealth Fund, GLP-1s

All-In Podcast

Google's open-source machine learning framework, used with their custom chips for AI development.

Hurricane fallout, AlphaFold, Google breakup, Trump surge, VC giveback, TikTok survey

All-In Podcast

A machine learning framework, mentioned in the context of AI development.

MIT 6.S094: Deep Learning

Lex Fridman

A popular deep learning framework mentioned in the context of software infrastructure for training neural networks.

MIT 6.S094: Recurrent Neural Networks for Steering Through Time

Lex Fridman

An open-source machine learning framework, mentioned as a tool where users might ignore the intricacies of backpropagation.

MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

Lex Fridman

A machine learning framework used for building and training deep neural networks, including CNNs, especially for offline training with GPUs.