[30] Dustin Tran - Probabilistic Programming for Deep Learning
The Thesis Review
The Intersection of Engineering, Research, and AI
This chapter explores the interconnected roles of engineering, research, and science in machine learning and AI. It highlights the evolution of tools like TensorFlow and PyTorch that democratize access to deep learning technologies, while also discussing the implications of limited resources on empirical research. Furthermore, the conversation examines probabilistic programming's development and its synergy with deep learning, emphasizing how advancements in hardware and software frameworks have reshaped research opportunities.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
