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

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

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 ...

Building GPU-Accelerated Workflows with TensorFlow and Kubernetes [I] - Daniel Whitenack, Pachyderm GPUs are critical to ...

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

Notes - https://drive.google.com/file/d/1OROYIk7ZNp980C68qcGv5mWGgq1FG-Vy/view?usp=sharing My Notes: ...

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

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

by Gunhan Gulsoy (Google TensorFlow team)

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

Join us as we discuss and demonstrate using TensorFlow for sentiment analysis.

Typically, when you need to expand a query through a model - for example, to do entity recognition or query tagging - you'd use a ...

Learn how to build a Convolutional Neural Network (CNN) from scratch using TensorFlow in this easy-to-follow tutorial. Whether ...

Video from my talk at NVIDIA's GTC DC 2016. Their hosting: https://mygtc.gputechconf.com/events/35/schedules/3388 and click ...

deeplearning #deeplearningtutorial #completecourse #machinelearning #ml101 #machinelearningfullcourse ...

In this session we will explore Recurrent Neural Networks (RNN) - a type of neural networks specially designed to process ...

Use Tensorflow to Create Image Classification models for Deep Learning applications. TensorFlow 2.0 Complete Course - Python ...

An overview of the book "convolutional neural networks with swift for tensorflow" for the swift-sig group, talking about how I ...

Deeplearning.ai If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how ...

You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail #codanics ...

"Deep Learning with TensorFlow 2.0 [EuroPython 2019 - Talk - 2019-07-11 - Osaka / Samarkand [PyData track] [Basel, CH] By ...

The Keras functional API is a way to create models that are more flexible than the Sequential API. The functional API can ...

In this video I look at a bit more of the details of the TensorFlow API. I start by looking at defining constant and variable tensors, ...

Running Distributed TensorFlow on DC/OS - Kevin Klues, Mesosphere, Inc. Running distributed TensorFlow is challenging, ...