TensorFlow

TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.

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KDnuggets™ News 20:n26, Jul 8: Speed up Your Numpy and Pandas

Speed up your Numpy and Pandas with NumExpr Package; A Layman's Guide to Data Science. Part 3: Data Science Workflow; Getting Started with TensorFlow 2; Feature Engineering in SQL and Python: A Hybrid Approach; Deploy Machine Learning Pipeline on AWS Fargate.

How to Save and Load of Keras Sequential and Functional Models - Part II

In TensorFlow and Keas, there are several ways to save and load a deep learning model. When you have too many options, sometimes it will be confusing to know which option to select for saving a model. Moreover, if you have a custom metric or a custom layer then the complexity increases even more. The main goal of this article is to explain different approaches for saving and loading a Keras model. If you are a seasoned machine learning practitioner, then most probably you know which option to select. You could skim through this article to see if there is any value you are going to get by reading this article. Part 2: Saving entire model with custom metrics, custom layers

How to Save and Load of Keras Sequential and Functional Models - Part I

The main goal of this article is to explain different approaches for saving and loading a Keras model. If you are a seasoned machine learning practitioner, then most probably you know which option to select. You could skim through this article to see if there is any value you are going to get by reading this article. Part 1: Saving entire model or only architecture or only weights

Inside TensorFlow - New TF Lite Converter

In this episode of Inside TensorFlow, Software Engineer Yu-Cheng Ling demonstrates to us the new TF Lite Converter.

Automation in the Machine Learning life cycle

This is a noticeable trend observable across industries from manufacturing to healthcare. This automation revolution is comparable to the Industrial revolution of the 18th century.

AI in Industry: How to use sensors’ accuracy to create augmented data

Discover how you can overcome a shortage of labeled data by augmenting your dataset thanks to the estimated sensors’ accuracy.

Tensorflow Tutorial -  Learn How to Use Callbacks Efficiently

Do you want to get the best version of your Machine Learning Model with Tensorflow? Start using callbacks now. In this Tensorflow Tutorial, you'll Learn How to Use Callbacks Efficiently

Top 10 Python Libraries for Data Science

10 most useful Python libraries for data scientists and engineers. Python has been a charmer for data scientists for a while now.😀 Pandas, NumPy, SciPy, Matplotlib, Seaborn, Scikit Learn, TensorFlow, Keras, Statsmodels, Plotly

How to Setup a Machine Learning and AI Environment

In this video will find out how to Setup a Machine Learning and AI Environment - A step-by-step tutorial on how to setup a development environment to begin coding and creating ML and AI...

Real-time Yolov3 Object Detection for Webcam and Video Using Tensorflow

Learn how to run Yolov3 Object Detection as a Tensorflow model in real-time for webcam and video. This video will show you how to get the code necessary, set...

How to Use Angular To Deploy TensorFlow Web Apps

In this article, we will take a text generation model built-in Python and integrate it into an interactive web app using Angular. Using Python-built models in Angular-built web apps. How to Use Angular To Deploy TensorFlow Web Apps

TensorFlow vs. PyTorch: The Force Is Strong with Which One? | Which One You Should Learn?

This Edureka comparison video of "PyTorch vs TensorFlow" provides you with a detailed comparison between the top 2 Python Deep Learning Frameworks.

How to Build a comment-critiquing keyboard adapter using TensorFlow Lite and Arduino

If you’ve ever left an online comment that you later regretted, this anti-troll bot will keep that from happening again by letting you know when you’re being a bit too harsh. The device — which was created by Andy of element14 Presents — intercepts raw keyboard inputs using a MKR Zero board and

Model with TensorFlow and Serve on Google Cloud Platform

In this guide, we learn how to develop a TensorFlow model and serve it on the Google Cloud Platform (GCP). We consider a regression ...

How to Create a Vanilla Neural Network with Tensorflow

A beginner’s friendly guide detailed on creating a neural network using Tensorflow. Today you’ll learn how to make your first neural network with Tensorflow; We’re going to build a Multilayer Perceptron model, also called the “Vanilla” Neural Network. Are you ready? So let’s start!

Build a Validation Set With TensorFlow's Keras API

In this episode, we’ll demonstrate how to use TensorFlow's Keras API to create a validation set on-the-fly during training. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcom...

Train an Artificial Neural Network with TensorFlow's Keras API

In this episode, we’ll demonstrate how to train an artificial neural network using the Keras API integrated within TensorFlow. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Wel...

Create an Artificial Neural Network with TensorFlow's Keras API

In this episode, we’ll demonstrate how to create a simple artificial neural network using a Sequential model from the Keras API integrated within TensorFlow....

How to Install TensorFlow on Ubuntu 20.04 | 18.04

This brief tutorial shows students and new users how to install TensorFlow on Ubuntu 20.04 | 18.04. For those who don’t know, TensorFlow is an end-to-end open source platform for machine learning…

Gaussian Mixture Models with TensorFlow Probability

A note on Mixture of Gaussians with TensorFlow Probability.