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This video demonstrates the usage of Model Function in Functional API of TensorFlow Python library for building simple ...

This video demonstrates how to code for multiple output problem using TensorFlow with Functional API. Notebook link: ...

Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation ...

Build in-demand tech skills; Try Pluralsight FREE: https://pluralsight.pxf.io/Gjdy9m What are the difference between Tensorflow 1 ...

Machine Learning ❤️ Image Processing using Python, OpenCV, Keras and TensorFlow A Complete Machine Learning Project ...

Bringing Machine Learning and Linear Algebra to Node.js with TensorFlow.js Machine Learning In Node.js With TensorFlow.js ...

This video demonstrates the application of custom loop (with gradient tape) in TensorFlow using a simple linear regression ...

Lecture 1: Overview of TensorFlow. This lecture is a part of Practical Machine Learning with TensorFlow 2.0 course instructed by ...

https://media.ccc.de/v/gpn18-103-good-patterns-for-deep-learning-with-tensorflow This talk will explain practical deep learning ...

Tensorflow Dense Layer in 3 mins using Tensorflow 2x | English Dense layers, also known as fully-connected layers, are ...

Filmed at https://2019.dotgo.eu on March 25th in Paris. More talks on https://dotconferences.com/talks TensorFlow is an ...

Learn how to use TensorFlow 2.0 in this tutorial for beginners. Sequence prediction course that covers topics such as: Recurrent ...

Experience the magic of neural networks as you explore TensorFlow Playground with me Ever wondered how activations, ...

In this video I'll show you how to build a command line program for image recognition using TensorFlow Go bindings.

A quick guide on how to enable the use of your GPU for machine learning with Jupyter Notebook, Tensorflow, Keras on the ...

Mike Craig https://2016.pygotham.org/talks/319/introduction-to-neural-networks-with-tensorflow Neural networks are a powerful ...

Code for this video : https://github.com/jaehosung/tensorflow-mnist-tutorial.

In this live session, we will cover all the basics of tensorflow. Overview of what we will cover: What computational graphs are?

Source code here: https://github.com/timtamimi/moood Demo here: https://mooodclassifier.herokuapp.com.