The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Code for Tensorflow Machine Learning Cookbook

TensorFlow Tutorial for Time Series Prediction

SImple notebook and dataset to demonstrate classification in TensorFlow

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

Deep Learning Note: tutorial, documentation, code links, etc...

Labs and demos for courses in the Google Cloud Platform Training (https://training.topgate.co.jp).

Using tensorflow train on large news corpus to extract keywords from text