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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 ...

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

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

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

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

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

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

by Gunhan Gulsoy (Google TensorFlow team)

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

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

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

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

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

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

PyCon Hong Kong 2017 Workshop Recurrent Neural Networks in Python: Keras and TensorFlow for Time Series Analysis - by ...

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

The world is data, and everyone uses it, but building a production ready system at scale comes with its own challenges. The main ...

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

Dr. Shirin Elsinghorst presents on using Keras and TensorFlow. Dr. Elsinghorst begins the presentation with background ...

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

Deep Learning for Science School 2019 - Lawrence Berkeley National Lab Agenda and talk slides are available at: ...

Get started with TensorFlow's High-Level APIs - @forLooop High-level APIs like tf.keras enable developers to train models easily ...

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

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