Billy Chandler

Billy Chandler

1567088837

9 Things You Should Know About TensorFlow

This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What’s New with TensorFlow?

Then I thought about it for a moment and couldn’t see a reason not to share my super-short summary with you (except maybe that you might not watch the video — you totally should check it out, the speaker is awesome) so here goes…

I made a video version of this article that’s even shorter, in case you’re in a hurry and/or you prefer information to be injected into your brain via your ears.

1 It’s a powerful machine learning framework

TensorFlow is a machine learning framework that might be your new best friend if you have a lot of data and/or you’re after the state-of-the-art in AI: deep learning. Neural networks. Big ones. It’s not a data science Swiss Army Knife, it’s the industrial lathe… which means you can probably stop reading if all you want to do is put a regression line through 20-by-2 spreadsheet.

But if big is what you’re after, get excited. TensorFlow has been used to go hunting for new planets, prevent blindness by helping doctors screen for diabetic retinopathy, and help save forests by alerting authorities to signs of illegal deforestation activity. It’s what AlphaGo and Google Cloud Vision are built on top of and it’s yours to play with. TensorFlow is open source, you can download it for free and get started immediately.

Discovered with the help of TensorFlow,

the planet Kepler-90i makes the Kepler-90 system the only other system

we know of that has eight planets in orbit around a single star. No

system has been found with more than eight planets, so I guess that

means we’re tied with Kepler-90 for first place (for now). Learn

more here.](https://www.nbcnews.com/mach/video/nasa-s-kepler-telescope-discovered-a-new-exoplanet-with-google-s-help-1121785923978). “https://www.nbcnews.com/mach/video/nasa-s-kepler-telescope-discovered-a-new-exoplanet-with-google-s-help-1121785923978).”)

2 The bizarre approach is optional

I’m head over heels for TensorFlow Eager.

If you tried TensorFlow in the old days and ran away screaming because it forced you to code like an academic/alien instead of like a developer, come baaaack!

TensorFlow eager execution lets you interact with it like a pure Python programmer: all the immediacy of writing and debugging line-by-line instead of holding your breath while you build those huge graphs. I’m a recovering academic myself (and quite possibly an alien), but I’ve been in love with TF eager execution since it came out. So eager to please!

3 You can build neural networks line-by-line

Keras + TensorFlow = easier neural network construction!

Keras is all about user-friendliness and easy prototyping, something old TensorFlow sorely craved more of. If you like object oriented thinking and you like building neural networks one layer at a time, you’ll love tf.keras. In just the few lines of code below, we’ve created a sequential neural network with the standard bells and whistles like dropout (remind me to wax lyrical about my metaphors for dropout sometime, they involve staplers and the flu).

Oh, you like puzzles, do you? Patience. Don’t think too much about staplers.

4 It’s not only Python

Okay, you’ve been complaining about TensorFlow’s Python monomania for a while now. Good news! TensorFlow is not just for Pythonistas anymore. It now runs in many languages, from R to Swift to JavaScript.

5 You can do everything in the browser

Speaking of JavaScript, you can train and execute models in the browser with TensorFlow.js. Go nerd out on the cool demos, I’ll still be here when you get back.

6 There’s a Lite version for tiny devices

Got a clunker desktop from a museum? Toaster? (Same thing?) TensorFlow Lite brings model execution to a variety of devices, including mobile and IoT, giving you more than a 3x boost in inference speedup over original TensorFlow. Yes, now you can get machine learning on your Raspberry Pi or your phone. In the talk, Laurence does a brave thing by live-demoing image classification on an Android emulator in front of thousands… and it works.

1.6 seconds to compute? Check! Banana with over 97% probability? Check! Toilet tissue? Well, I’ve been to a few countries where I suppose a sheet of paper like the one Laurence is holding up counts.

7 Specialized hardware just got better

If you’re tired of waiting for your CPU to finish churning through your data to train your neural network, you can now get your hands on hardware specially designed for the job with Cloud TPUs. The T is for tensor. Just like TensorFlow… coincidence? I think not! A few weeks ago, Google announced version 3 TPUs in alpha.

8 The new data pipelines are much improved

What’s that you’re doing with numpy over there? In case you wanted to do it in TensorFlow but then rage-quit, the tf.data namespace now makes your input processing in TensorFlow more expressive and efficient. tf.data gives you fast, flexible, and easy-to-use data pipelines synchronized with training.

9 You don’t need to start from scratch

You know what’s not a fun way to get started with machine learning? A blank new page in your editor and no example code for miles. With TensorFlow Hub, you can engage in a more efficient version of the time-honored tradition of helping yourself to someone else’s code and calling it your own (otherwise known as professional software engineering).

TensorFlow Hub is a repository for reusable pre-trained machine learning model components, packaged for one-line reuse. Help yourself!

While we’re on the subject of community and not struggling alone, you might like to know that TensorFlow just got an official YouTube channel and blog.

Update! As of March 2019, there’s a 10th thing you should know…

10 TensorFlow just got user friendly!

Now that we’re done with last year’s news, it’s time for the one thing you need to know above all others: TensorFlow 2.0 is finally here! It’s a radical makeover that’s all about making TF super easy to use. The consequences are going to have major ripple effects on every industry, just you wait. Read my update about it here.

That concludes my summary, so here’s the full talk to entertain you for the next 42 minutes.

#tensorflow #python #machine-learning

What is GEEK

Buddha Community

9 Things You Should Know About TensorFlow
Billy Chandler

Billy Chandler

1567088837

9 Things You Should Know About TensorFlow

This morning I found myself summarizing my favorite bits from a talk that I enjoyed at Google Cloud Next in San Francisco, What’s New with TensorFlow?

Then I thought about it for a moment and couldn’t see a reason not to share my super-short summary with you (except maybe that you might not watch the video — you totally should check it out, the speaker is awesome) so here goes…

I made a video version of this article that’s even shorter, in case you’re in a hurry and/or you prefer information to be injected into your brain via your ears.

1 It’s a powerful machine learning framework

TensorFlow is a machine learning framework that might be your new best friend if you have a lot of data and/or you’re after the state-of-the-art in AI: deep learning. Neural networks. Big ones. It’s not a data science Swiss Army Knife, it’s the industrial lathe… which means you can probably stop reading if all you want to do is put a regression line through 20-by-2 spreadsheet.

But if big is what you’re after, get excited. TensorFlow has been used to go hunting for new planets, prevent blindness by helping doctors screen for diabetic retinopathy, and help save forests by alerting authorities to signs of illegal deforestation activity. It’s what AlphaGo and Google Cloud Vision are built on top of and it’s yours to play with. TensorFlow is open source, you can download it for free and get started immediately.

Discovered with the help of TensorFlow,

the planet Kepler-90i makes the Kepler-90 system the only other system

we know of that has eight planets in orbit around a single star. No

system has been found with more than eight planets, so I guess that

means we’re tied with Kepler-90 for first place (for now). Learn

more here.](https://www.nbcnews.com/mach/video/nasa-s-kepler-telescope-discovered-a-new-exoplanet-with-google-s-help-1121785923978). “https://www.nbcnews.com/mach/video/nasa-s-kepler-telescope-discovered-a-new-exoplanet-with-google-s-help-1121785923978).”)

2 The bizarre approach is optional

I’m head over heels for TensorFlow Eager.

If you tried TensorFlow in the old days and ran away screaming because it forced you to code like an academic/alien instead of like a developer, come baaaack!

TensorFlow eager execution lets you interact with it like a pure Python programmer: all the immediacy of writing and debugging line-by-line instead of holding your breath while you build those huge graphs. I’m a recovering academic myself (and quite possibly an alien), but I’ve been in love with TF eager execution since it came out. So eager to please!

3 You can build neural networks line-by-line

Keras + TensorFlow = easier neural network construction!

Keras is all about user-friendliness and easy prototyping, something old TensorFlow sorely craved more of. If you like object oriented thinking and you like building neural networks one layer at a time, you’ll love tf.keras. In just the few lines of code below, we’ve created a sequential neural network with the standard bells and whistles like dropout (remind me to wax lyrical about my metaphors for dropout sometime, they involve staplers and the flu).

Oh, you like puzzles, do you? Patience. Don’t think too much about staplers.

4 It’s not only Python

Okay, you’ve been complaining about TensorFlow’s Python monomania for a while now. Good news! TensorFlow is not just for Pythonistas anymore. It now runs in many languages, from R to Swift to JavaScript.

5 You can do everything in the browser

Speaking of JavaScript, you can train and execute models in the browser with TensorFlow.js. Go nerd out on the cool demos, I’ll still be here when you get back.

6 There’s a Lite version for tiny devices

Got a clunker desktop from a museum? Toaster? (Same thing?) TensorFlow Lite brings model execution to a variety of devices, including mobile and IoT, giving you more than a 3x boost in inference speedup over original TensorFlow. Yes, now you can get machine learning on your Raspberry Pi or your phone. In the talk, Laurence does a brave thing by live-demoing image classification on an Android emulator in front of thousands… and it works.

1.6 seconds to compute? Check! Banana with over 97% probability? Check! Toilet tissue? Well, I’ve been to a few countries where I suppose a sheet of paper like the one Laurence is holding up counts.

7 Specialized hardware just got better

If you’re tired of waiting for your CPU to finish churning through your data to train your neural network, you can now get your hands on hardware specially designed for the job with Cloud TPUs. The T is for tensor. Just like TensorFlow… coincidence? I think not! A few weeks ago, Google announced version 3 TPUs in alpha.

8 The new data pipelines are much improved

What’s that you’re doing with numpy over there? In case you wanted to do it in TensorFlow but then rage-quit, the tf.data namespace now makes your input processing in TensorFlow more expressive and efficient. tf.data gives you fast, flexible, and easy-to-use data pipelines synchronized with training.

9 You don’t need to start from scratch

You know what’s not a fun way to get started with machine learning? A blank new page in your editor and no example code for miles. With TensorFlow Hub, you can engage in a more efficient version of the time-honored tradition of helping yourself to someone else’s code and calling it your own (otherwise known as professional software engineering).

TensorFlow Hub is a repository for reusable pre-trained machine learning model components, packaged for one-line reuse. Help yourself!

While we’re on the subject of community and not struggling alone, you might like to know that TensorFlow just got an official YouTube channel and blog.

Update! As of March 2019, there’s a 10th thing you should know…

10 TensorFlow just got user friendly!

Now that we’re done with last year’s news, it’s time for the one thing you need to know above all others: TensorFlow 2.0 is finally here! It’s a radical makeover that’s all about making TF super easy to use. The consequences are going to have major ripple effects on every industry, just you wait. Read my update about it here.

That concludes my summary, so here’s the full talk to entertain you for the next 42 minutes.

#tensorflow #python #machine-learning

5 Steps to Passing the TensorFlow Developer Certificate

Deep Learning is one of the most in demand skills on the market and TensorFlow is the most popular DL Framework. One of the best ways in my opinion to show that you are comfortable with DL fundaments is taking this TensorFlow Developer Certificate. I completed mine last week and now I am giving tips to those who want to validate your DL skills and I hope you love Memes!

  1. Do the DeepLearning.AI TensorFlow Developer Professional Certificate Course on Coursera Laurence Moroney and by Andrew Ng.

2. Do the course questions in parallel in PyCharm.

#tensorflow #steps to passing the tensorflow developer certificate #tensorflow developer certificate #certificate #5 steps to passing the tensorflow developer certificate #passing

Mike doctor

Mike doctor

1624575600

7 Things to Know BEFORE Buying a Rental Property

In this video, I’m going over 7 things you NEED to know before buying your first rental or investment property in 2021. Watch this video in full to have less stress, make more money, and know how to leverage real estate to your advantage.

I own a real estate brokerage in California and have been in the industry for close to 4 years now. These are my insights on real estate investing.

From investing in multiunits in the right locations, to understanding the tax benefits, to running the numbers to make sure an investment makes sense, there are so many things any new real estate investor should know. If you want to start real estate investing and get your first rental property in 2021, this is the video for you.

There is a lot of opportunity in real estate, and as a real estate investor you need to know what the benefits are (to save on taxes) and how you can maximize the profit of your rental. These are the things I wish I knew before buying my first rental at the age of 25 - it would have saved me a lot of time and money.

I’m super excited for you! There are deals everywhere and as long as you know how to identify these deals, allocate resources correctly, and find the right tenants, you will do well. This is a long term way to build cash flow and generational wealth, for those who do it correctly.

Happy real estate investing! I’m rooting for all of you. Let’s buy some units in 2021! If you’re a hustler, make sure to hit that like button and subscribe for more content like this - I make a ton of content about personal finance, investing, and entrepreneurship.

#7 things to know before buying a rental property #bitcoin #blockchain #buying a rental property #a rental property #things to know before buying a rental property

Rahim Makhani

Rahim Makhani

1623475913

Find the best IoT Developers near you

The Internet of Things (IoT) represents the network of physical objects installed with sensors, software, and other technologies to connect and exchange data with other systems and devices over the network.

IoT has changed the way computers think; it has made computers understand in an innovative and better way. As a result, many business owners are developing IoT-based apps for their businesses to grow and expand.

Do you also want to develop an IoT app for the business? You can hire an IoT developer from Nevina Infotech to develop your app. We are the leading app development company with a team of dedicated developers on whom you can rely.

#internet of things development #internet of things development companies #internet of things software development #internet of things application development #android app development internet of things

Turner  Crona

Turner Crona

1590159840

How to Install TensorFlow on Debian 9

TensorFlow is a free and open-source platform for machine learning built by Google. It is used by a number of organizations including Twitter, PayPal, Intel, Lenovo, and Airbus.

TensorFlow can be installed system-wide, in a Python virtual environment, as a Docker container or with Anaconda. For learning purposes, it is best to install TensorFlow in a Python virtual environment. This way you can have multiple different isolated Python environments on a single computer and install a specific version of a module on a per project basis without worrying that it will affect your other Projects.

This tutorial will guide you through the process of installing TensorFlow on Debian 9

#debian 9 #tensorflow