2020-06-21 Sunday - Manning Publications - 2020 Books of Interest

There are many excellent new titles (and some updated 2nd editions) - coming later this year, that may be of interest  (and benefit) to you (or, members of your organization) - from Manning Publications Co. , and I look forward to hopefully having a chance to review many of them.

Check them out here (in publication date order):  
https://www.manning.com/catalog/sort/sort-by-date

For example:

• GraphQL in Action
• Kubernetes in Action, Second Edition
• Blockchain in Action
• Machine Learning with TensorFlow, Second Edition
• Microservices Security in Action
• API Security in Action
• Graph Databases in Action
• Grokking Deep Reinforcement Learning
• Rust in Action
• Serverless Architectures on AWS, Second Edition
• Bootstrapping Microservices with Docker, Kubernetes, and Terraform  
• Kafka in Action
• Math for Programmers
• Modern Fortran
• Terraform in Action 
• React Hooks in Action
• Deep Learning with Python, Second Edition
• Grokking Machine Learning
• Microservices in .NET Core, Second Edition
• Quantum Computing for Developers
• Core Kubernetes
• Exploring Data with R
• Functional Programming in Kotlin
• Getting Started with Natural Language Processing
• GitOps and Kubernetes
• Istio in Action
• R in Action, Third Edition
• PySpark in Action
• Spring Security in Action
• Getting Started with Kubernetes
• Spring in Action, Sixth Edition  

2020-05-12 Tuesday - Book Suggestion: Grokking Artificial Intelligence Algorithms

Today I received my preview copy of the latest version of Manning's "Grokking Artificial Intelligence Algorithms" - which I helped with during the early stages of technical editing review.

Thank you Ivan Martinovic and Manning Publications Co.

And congratulations to Rishal Hurbans on the completion of his book.

 

 

2019-03-28 Thursday - TensorFlow-2.0.0-alpha (TF 2.0 Alpha)

Today I spotted Cassie Kozyrkov's article on Hackernoon (she's Chief Decision Scientist at Google, Inc) :

• TensorFlow is dead, long live TensorFlow!
• https://hackernoon.com/tensorflow-is-dead-long-live-tensorflow-49d3e975cf04
• " TensorFlow has just gone full Keras"
• "Keras is a specification for building models layer-by-layer that works with multiple machine learning frameworks (so it’s not a TF thing)"
• "Going forward, Keras will be the high level API for TensorFlow and it’s extended so that you can use all the advanced features of TensorFlow directly from tf.keras." 

Here are some of the relevant 2.0 documentation resources

• https://www.tensorflow.org/alpha 
• https://www.tensorflow.org/install 

• $ pip install tensorflow==2.0.0-alpha0

• https://www.tensorflow.org/install/gpu
• https://www.tensorflow.org/alpha/tutorials/keras
• https://www.tensorflow.org/alpha/guide/effective_tf2
• https://www.tensorflow.org/alpha/tutorials/quickstart/beginner

35 videos from the TensorFlow Dev Summit 2019 (March 6th and 7th at the Google Event Center in Sunnyvale, CA.), touching specifically on TF 2.0, are available here:

• https://www.youtube.com/playlist?list=PLQY2H8rRoyvzoUYI26kHmKSJBedn3SQuB

TensorFlow Youtube Channel

• https://www.youtube.com/tensorflow

I also took a moment to upgrade to the recent Python 3.7.3 release (from 3.7.2)

• https://www.python.org/downloads/release/python-373/
• Note: If you are installing on Windows 10, be sure to use one  of the x64 installers (e.g. Windows x86-64 executable installer)
• https://docs.python.org/3.7/

  

2017-04-07 Friday - O'Reilly Early Release - Learning TensorFlow

New O'Reilly early release book on TensorFlow
http://shop.oreilly.com/product/0636920063698.do

2016-10-21 Friday - AI Topics, Weekend Reading

• https://www.infoq.com/news/2016/10/CommAI-Train-Test-Facebook
• https://github.com/facebookresearch/CommAI-env
• https://github.com/facebook/MazeBase

Paper: "A Roadmap towards Machine Intelligence"

• https://arxiv.org/abs/1511.08130

• https://arxiv.org/pdf/1511.08130v2.pdf

2016-04-20 Wednesday - Exploring Apache SINGA 0.3.0, A General Distributed Deep Learning Platform

Exploring today's Apache SINGA 0.3.0 release, A General Distributed Deep Learning Platform
http://singa.apache.org/docs/overview.html

"SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning."

2015-11-14 Saturday - Reading Source Code: Google's TensorFlow

TensorFlow is an Open Source Software Library for Machine Intelligence

I'm spending some time this weekend reading through the source code for Google's TensorFlow
https://github.com/tensorflow/tensorflow


http://www.tensorflow.org/

"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well."

Some recent news stories about TensorFlow

• http://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-engine/
• http://phys.org/news/2015-11-google-tensorflow-game-changer-future-ai.html
• http://www.businessinsider.com/tensorflow-is-googles-new-ai-software-2015-11
• http://www.bizjournals.com/sanjose/news/2015/11/10/google-will-open-source-artificial-intelligence.html
• http://fortune.com/2015/11/09/google-artificial-intelligence/
• http://recode.net/2015/11/09/google-tries-an-android-for-machine-learning-releasing-open-source-ai-system/

Tutorials

• Jason Baldridge's Simple end-to-end TensorFlow examples
• https://bcomposes.wordpress.com/2015/11/26/simple-end-to-end-tensorflow-examples/
• By Illia Polosukhin
• https://medium.com/@ilblackdragon/tensorflow-tutorial-part-1-c559c63c0cb1#.d2h8l0s5k

2008-02-16 Saturday

The evaluation of the Open Source WebLOAD-8.1 testing software continues - and so far I am still very pleased with its functionality and ease of use.


Results of the POVRay Short Code Contest #5 - The animation round. Some VERY cool animations.

I would like to spend some time looking into this tool: Persistence of Vision Raytracer.

The Persistence of Vision Raytracer is a high-quality, totally free tool for creating stunning three-dimensional graphics. It is available in official versions for Windows, Mac OS/Mac OS X and i86 Linux.

Ray Kurzweil: Machines 'to match man by 2029'

CHALLENGES FACING HUMANITY
Make solar energy affordable
Provide energy from fusion
Develop carbon sequestration
Manage the nitrogen cycle
Provide access to clean water
Reverse engineer the brain
Prevent nuclear terror
Secure cyberspace
Enhance virtual reality
Improve urban infrastructure
Advance health informatics
Engineer better medicines
Advance personalised learning
Explore natural frontiers

The 14 challenges were announced at the annual meeting of the American Association for the Advancement of Science in Boston

Virus from China the gift that keeps on giving...digital photo frames virus (Trojan)

Use of Rogue DNS Servers on Rise