Cutting Edge Deep Learning
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πŸ“• Deep learning
πŸ“— Reinforcement learning
πŸ“˜ Machine learning
πŸ“™ Papers - tools - tutorials

πŸ”— Other Social Media Handles:
https://linktr.ee/cedeeplearning
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πŸ”ΉStructured learning and GANs in TF, another viral face-swapper, optimizer benchmarks, and more...

This week in #deep_learning we bring you a GAN library for TensorFlow 2.0, another viral #face-swapping app, an #AI Mahjong player from Microsoft, and surprising results showing random architecture search beating neural architecture search. You may also enjoy an interview with Yann LeCun on the AI Podcast, a primer on #MLIR from Google, a few-shot face-#swapping #GAN, benchmarks for recent optimizers, a structured learning #framework for #TensorFlow, and more!

πŸ“ŒVia: @cedeeplearning

link: https://www.deeplearningweekly.com/issues/deep-learning-weekly-issue-124.html
πŸ”»Some quick tips for #TensorFlow

some quick tips, mostly focused on performance, that reveal common pitfalls and may boost your model and #training performance to new levels. We'll start with preprocessing and your input pipeline, visit graph construction and move on to debugging and performance #optimizations.
1. Preprocessing and input pipelines
Keep #preprocessing clean and lean
2. Watch your queues
3. Graph construction and training
Finalize your graph
4. Profile your #graph
5. Watch your memory
6. #Debugging
Print is your friend
7. Set an operation execution timeout
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link: https://www.deeplearningweekly.com/blog/tensorflow-quick-tips/

πŸ“ŒVia: @cedeeplearning

#deeplearning
#neuralnetworks
#machinelearning
πŸ”»10 Best Machine Learning Frameworks in 2020

1. #TensorFlow
2. Google Cloud ML Learning
3. Apache Mahout
4. Shogun
5. Sci-Kit Learn
6. #PyTorch or TORCH
7. H2O
8. Microsoft Cognitive Toolkit (#CNTK)
9. #Apache MXNet
10. Apple's Core ML

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https://www.cubix.co/blog/best-machine-learning-frameworks-in-2020

πŸ“ŒVia: @cedeeplearning

#deeplearning
#machinelearning
#datascience
πŸ”ΉMIT Deep Learning Basics: Introduction and Overview with TensorFlow

As part of the MIT Deep Learning series of lectures and GitHub tutorials, we are covering the basics of using neural networks to solve problems in computer vision, natural language processing, games, autonomous driving, robotics, and beyond.

πŸ“ŒVia: @cedeeplearning

https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0

#deeplearning
#neuralnetworks
#TensorFlow
#machinelearning
πŸ”ΉPhoto Editing with Generative Adversarial Networks

#GANs are a very hot topic in #Machine_Learning. In this post I will explore various ways of using a GAN to create previously unseen images. I provide source code in #Tensorflow and a modified version of DIGITS that you are free to use if you wish to try it out yourself.
πŸ”»Do not miss out this article
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πŸ“ŒVia: @cedeeplearning
πŸ“ŒSocial media: https://linktr.ee/cedeeplearning

link: https://devblogs.nvidia.com/photo-editing-generative-adversarial-networks-1/
πŸ”»TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users

In this piece, we’ll highlight some of the tips and tricks mentioned during this year’s TF summit. Specifically, these tips will help you in getting the best out of Google’s Colab.

Credit: By Derrick Mwiti
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πŸ“ŒVia: @cedeeplearning

https://www.kdnuggets.com/2020/04/tensorflow-dev-summit-2020-top-10-tricks-tensorflow-colabs.html

#TensorFlow
#google
#neuralnetworks
#deeplearning
#machinelearning
πŸ”»Intro to TensorFlow for Deep Learning (free course from Udacity)

Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your #TensorFlow w models in the real world on mobile devices, in the cloud, and in browsers. Finally, you'll use advanced techniques and algorithms to work with large datasets. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.
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πŸ“ŒVia: @cedeeplearning


https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

#free #machinelearning
#datascience #math
#deeplearning #udacity
πŸ”»Top 13 Python Deep Learning Libraries

Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.

Of course, these lists are entirely subjective as many libraries could easily place in multiple categories. For example, TensorFlow is included in this list but Keras has been omitted and features in the Machine Learning library collection instead. This is because #Keras is more of an β€˜end-user’ library like #SKLearn, as opposed to #TensorFlow which appeals more to researchers and Machine Learning engineer types.
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πŸ“ŒVia: @cedeeplearning
πŸ“ŒOther social media: https://linktr.ee/cedeeplearning

link: https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html

#machinelearning
#deeplearning
#datascience
#paython
#libraries
πŸ”— Build your Own Object Detection Model using #TensorFlow API

πŸ”»The World of Object Detection

πŸ”ΉOne of my favorite computer vision and deep learning concepts is object detection. The ability to build a model that can go through images and tell me what objects are present – it’s a priceless feeling!

πŸ‘ Nice reading article
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πŸ“ŒVia: @cedeeplearning

https://www.analyticsvidhya.com/blog/2020/04/build-your-own-object-detection-model-using-tensorflow-api/

#object_detection
#imagedetection
#deeplearning #computervision
#AI #machinelearning
#neuralnetworks