Google’s Colabotory (Colab) is a go-to device for constructing AI/ML models. The platform is a hosted on Jupyter Notebook service powered by Google Cloud. Developers can entry free GPUs and TPUs of the service. If you are attempting to get began with ML, listed here are illustrative examples of Colab Notebooks that may kicks tart your ML journey.
1. Deep Dream
The tutorial is an implementation of Deep Dream experiment that visualizes the patterns discovered by a neural network. The platform seems to be at patterns in a picture, over-interprets, and enhances them. It feeds the picture by way of the network after which calculates gradients of the picture. The network enhances the patterns seen within the picture, leading to a dream-like picture.
2. Lucid
Lucid is a set of instruments to work on network interpretability. This Colab tutorial introduces the developers to Lucid. It is sort of a step up from DeepDream that provides versatile abstractions in order that it may be used for a variety of interpretability analysis.
3. GANs on TensorFlow
GANs have been well-liked over the previous couple of years. This notebook incorporates GANs and its many variants which have been developed over time. The Colab notebook incorporates DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN & RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, and BigGAN.
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