Weekly Review: Blockchain potentials, TensorFlow 2.0.0 release candidate
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we welcomed the new version of Keras, got one step closer to TensorFlow 2.0 with a new release candidate, and learned more about the potentials of blockchain.
Last week saw plenty of updates. Keras, the Python deep learning library, released version 2.3.0. Meanwhile, TensorFlow welcomed its new release candidate for v2.0.0. Users of Keras should take note of the upcoming changes regarding tf.Keras and switch their code over to tf.keras in TensorFlow 2.0.
What else happened last week? Let’s take a look.
10 blockchain technology solutions for business in 2019
Blockchain provides powerful encryption, autonomy, and anonymity. But, how can you begin investing? Investment has uses in many different fields, including copyright preservation, cashless purchasing, and transaction security. Here are 10 blockchain tech solutions for businesses, and a quick overview of how it works in simple, easy-to-understand steps.
Read all about blockchain here.
Keras 2.3.0 is the last major release of multi-backend Keras
Keras version 2.3.0 is here, and it is the last major multi-backend release. Going forward, users are recommended to switch their code over to tf.keras in TensorFlow 2.0. This release brings API changes and a few breaking changes. Have a look under the hood and see what it includes, as well as what the plans are going forward.
See what’s new with Keras here.
TensorFlow 2.0.0 release candidate: 2.0.0-rc2 includes breaking changes
We are one step closer to TensorFlow 2.0.0. The new release candidate, 2.0.0-rc2 includes new features, improvements, breaking changes, and bug fixes. Catch up on what’s expected to arrive in TensorFlow 2.0. The next major release focuses on ease of use and simplicity, with plenty of updates and easy model building with Keras.
Prepare for TensorFlow 2.0.0 here.
CMS Java Garbage Collector deprecated: What are the next steps?
Tutorial time. JDK 9 included the deprecation of the Concurrent Mark Sweet (CMS) GC algorithm. In Java 9 onward, launching the application with -XX:+UseConcMarkSweepGC provides a warning message. In this article, Ram Lakshmanan explains why CMS was deprecated, what your next steps are, and offers some alternative options to take.
Read more about it here.
Can blockchain transform the banking industry?
The digital banking sector currently faces several problems, including non-financial institution threads. In this article, read about how blockchain could potentially be a solution for financial services and digital banking. It can help with solutions such as an improvised identity system (KYC), and by reducing the change of fraudulent transactions.
Read all about the potentials here.