Deep Learning Papers Reading Roadmap
The roadmap is constructed in accordance with the following four guidelines:
- from outline to detail
- from old to state-of-the-art
- from generic to specific areas
- focus on state-of-the-art
In the opening keynote of the Big Data Toronto conference, however, Luming Wang of Uber Technologies Inc. said companies should aim their earliest AI efforts at assisting employees so they can do their jobs better.
Collection of resources for building a foundation in deep learning.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Building a desktop after a decade of MacBook Airs and cloud servers
In this blog post, the author shares three key learnings when applying deep learning to real-world problems:
- Learning I: the value of pre-training
- Learning II: caveats of real-world label distributions
- Learning III: understanding black box models
