A.I, Data and Software Engineering

CategoryResearch

Quick Benchmark Colab CPU GPU TPU (XLA-CPU)

CPU TPU GPU

If you ever wonder about the performance differences between CPU, GPU, and TPU for your machine learning project, this article shows a simple benchmark for these three. Memory Subsystem Architecture Central Processing Unit (CPU), Graphics Processing Unit (GPU) and Tensor Processing Unit (TPU) are processors with a specialized purpose and architecture. CPU: A processor designed to solve every...

A really Cool data visualization: 3d globe in 2d space

3d-globe-animation

While generating data in 3d space for manifold learning, I went across a problem of distributing points evenly on a sphere. It is a non-trivial problem but found a good enough solution for such placement. Interestingly, it ends up with a really cool animation effect when I decided to implement it on a mobile app. Figure 1: First animation effect: Rotation The algorithm There are two qualitatively...

TF2.0 Warm-up exercises (forked from @chipHuyen Repo)

Petamind A.I

Heard of Ms @huyen chip for her notable yet controversial travelling books back in the day. I enjoy reading but I am not really into travel memoirs. Nevertheless, she did surprise everyone by her achievements by getting in Stanford, teaching TensorFlow, and then became a computer/data scientist. Her story is definitely very inspiring. For ones who don’t know about Ms Huyen, I added an...

Movielens automation- Process and export

movie lens automation

Movie lens is a popular collection of datasets for recommender systems. This post introduces a python script to process the movie lens datasets, generate a negative sample, and transforms the datasets into SVM light format. The format is also known as libfm format used in many factorization machines. Movie Lens datasets Movie lens icon on Amazon MovieLens is a web-based recommender...

A.I, Data and Software Engineering

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