In part 1, we introduced fruit classification with pure python implementation. In this part, we will use the Keras library instead. What is Keras Keras is an open-sourceneural-network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. Designed to enable fast experimentation...
Watching the advancement in AI is always enjoyable!Some certified nerd Just two years ago, we witnessed AlphaZero released by the DeepMind team. Within only 24 hours, it achieved a superhuman level of play in these three games by defeating world-champion programs, Stockfish, elmo, and the 3-day version of AlphaGo Zero. In each case, it made use of custom tensor processing...
During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. Fig 1: Apple grading The grading task Given an apple, we need to sort it to correct category in three available...
In my research, there are many problems involve networks of different types, e.g. social network, online-trading networks, crowd-sourcing, etc. I was so happy to find a new powerful tool for my research, the graph convolutional network, which applies deep learning on graph structures. Graph convolutional network (GCN) Graph convolutional network (Src: Thomas Kipf) There is currently no official...
When starting Tensorflow (TF), many may find that the result cannot be obtained immediately. Rather, you must use a session or interactive session. TensorFlow uses a dataflow graph to represent your computation in terms of the dependencies between individual operations. This leads to a low-level programming model in which you first define the dataflow graph, then create a...