All topics / enterprise adoption
Topic
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Enterprise adoption
1
episodes
1
thinkers
1h
of conversation
2
books & papers
2
terms defined
The neighbourhood: enterprise adoption and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
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The lexicon
Every term the guests lean on, in plain language. Read one in full, or filter to find it.
What the corpus says
The throughline across every conversation that touches this idea.
TensorFlow was open-sourced in November 2015, a pivotal move that accelerated its adoption and impact in the machine learning community.
Rajat Monga · Rajat Monga: TensorFlow
TensorFlow's integration of Keras was driven by demand for a simplified API, making it more accessible to beginners and enterprises.
Rajat Monga · Rajat Monga: TensorFlow
Despite competition from PyTorch, TensorFlow aims to maintain backward compatibility while innovating, balancing stability and progress.
Rajat Monga · Rajat Monga: TensorFlow
TensorFlow's growth is intertwined with the rise of deep learning, with 41 million downloads and extensive community contributions.
Rajat Monga · Rajat Monga: TensorFlow
The transition to TensorFlow 2.0 focuses on modularity and compatibility, aiming to support a wide range of devices and algorithms.
Rajat Monga · Rajat Monga: TensorFlow
Voices on enterprise adoption
3 standout quotes from across the corpus.
Go read
2 books and papers cited across these episodes.
For the specialist
What experts find new
2 expert-level takeaways for a specialist reader.
At the frontier
Still unresolved
1 open questions flagged across these conversations.
The thinkers
Who takes this idea on, by how often they return to it.