A.I, Data and Software Engineering
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...
The most basic yet important thing when working with data array is its dimensions. This article will cover several data shapes and reshaping techniques. Why need reshaping data Imagine that you are starving and suddenly given a piece of delicious food. You may try to put it all in your mouth (Fig 1a) and find out it cannot help your hunger. So, you decided to arrange your food so that it not only...
TensorFlow 2.0 is out! Get hands-on practice at TF World, Oct 28-31. TensorFlow Ads Since the TF2.0 API reference lists have already been made publicly available, TF2.0 is still in RC.2 version. It is expected that the final release will be made available in the next few days (or weeks). What’s new in TF2.0: The obvious different – The version. In Colab, you can force using 2.0 by:...
TensorFlow 2.0 is coming really soon. Therefore, we quickly show some useful features, i.e., save and load a pre-trained model, with v.2 syntax. To make it more intuitive, we will also visualise the graph of the neural network model. Benefits of saving a model Quick answer: to save time, easy-share, and fast deploy. A SavedModel contains a complete TensorFlow program, including weights and...
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...
A.I, Data and Software Engineering