ViewTube

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

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 ...

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

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

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

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

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

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?

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 ...

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

by Gunhan Gulsoy (Google TensorFlow team)

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

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

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

Train Image Classification with Convolutional Neural Networks to get #StateOfTheArt results with Tensorflow 2 0:00 Greetings ...

By Dr. Pejman Rasti.

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

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

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