Building Image Classification Models
Eli discusses the two categories of models for image classification - regression and classification. He explains the concept of transfer learning and how it can be used to retrain the top layers of existing models like Inception. Eli also mentions the need for running the code in a distributed environment and the use of gRPC for efficient data processing.In this clip
From this podcast
The Changelog
TensorFlow and Deep Learning
Related Questions
What are some techniques for training machine learning models discussed in the episode Transfer Learning and the clip Leveraging Transfer Learning?
What are some techniques for training machine learning models discussed in the episode TensorFlow and Deep Learning and the clip Unleashing TensorFlow from the Transfer Learning episode?