#Ψ’Ω
ΩΨ²Ψ΄
ΩΩΨͺ Ψ¨ΩΪ© Ψ’Ω ΩΨ²Ψ΄Ϋ ΨͺΩΨ³Ψ±ΩΩΩΫ 2
https://github.com/ageron/tf2_course
#tensorflow
----------
@machinelearning_tuts
ΩΩΨͺ Ψ¨ΩΪ© Ψ’Ω ΩΨ²Ψ΄Ϋ ΨͺΩΨ³Ψ±ΩΩΩΫ 2
https://github.com/ageron/tf2_course
#tensorflow
----------
@machinelearning_tuts
GitHub
GitHub - ageron/tf2_course: Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course - ageron/tf2_course
πΉStructured 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!
πVia: @cedeeplearning
link: https://www.deeplearningweekly.com/issues/deep-learning-weekly-issue-124.html
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!
πVia: @cedeeplearning
link: https://www.deeplearningweekly.com/issues/deep-learning-weekly-issue-124.html
π»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/
πVia: @cedeeplearning
#deeplearning
#neuralnetworks
#machinelearning
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
βββββββββββββββββ
link: https://www.deeplearningweekly.com/blog/tensorflow-quick-tips/
πVia: @cedeeplearning
#deeplearning
#neuralnetworks
#machinelearning
π»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
πVia: @cedeeplearning
#deeplearning
#machinelearning
#datascience
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
βββββββββββββββββ
https://www.cubix.co/blog/best-machine-learning-frameworks-in-2020
πVia: @cedeeplearning
#deeplearning
#machinelearning
#datascience
Cubix
10 Best Machine Learning Frameworks in 2020 | Deep Learning Platforms
ML and Deep Learning platforms are the technology of tomorrow. The guide tells you the 10 best machine learning or deep learning frameworks of 2020
πΉMIT 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.
πVia: @cedeeplearning
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0
#deeplearning
#neuralnetworks
#TensorFlow
#machinelearning
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.
πVia: @cedeeplearning
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0
#deeplearning
#neuralnetworks
#TensorFlow
#machinelearning
Medium
MIT 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 solveβ¦
πΉPhoto 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.
π»Do not miss out this article
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πVia: @cedeeplearning
πSocial media: https://linktr.ee/cedeeplearning
link: https://devblogs.nvidia.com/photo-editing-generative-adversarial-networks-1/
#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.
π»Do not miss out this article
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πVia: @cedeeplearning
πSocial media: https://linktr.ee/cedeeplearning
link: https://devblogs.nvidia.com/photo-editing-generative-adversarial-networks-1/
π»TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users
In this piece, weβll highlight some of the tips and tricks mentioned during this yearβs TF summit. Specifically, these tips will help you in getting the best out of Googleβs Colab.
Credit: By Derrick Mwiti
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πVia: @cedeeplearning
https://www.kdnuggets.com/2020/04/tensorflow-dev-summit-2020-top-10-tricks-tensorflow-colabs.html
#TensorFlow
#google
#neuralnetworks
#deeplearning
#machinelearning
In this piece, weβll highlight some of the tips and tricks mentioned during this yearβs TF summit. Specifically, these tips will help you in getting the best out of Googleβs Colab.
Credit: By Derrick Mwiti
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πVia: @cedeeplearning
https://www.kdnuggets.com/2020/04/tensorflow-dev-summit-2020-top-10-tricks-tensorflow-colabs.html
#TensorFlow
#neuralnetworks
#deeplearning
#machinelearning
KDnuggets
TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users - KDnuggets
In this piece, weβll highlight some of the tips and tricks mentioned during this yearβs TF summit. Specifically, these tips will help you in getting the best out of Googleβs Colab.
π»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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πVia: @cedeeplearning
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
#free #machinelearning
#datascience #math
#deeplearning #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.
ββββββββββββββ
πVia: @cedeeplearning
https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
#free #machinelearning
#datascience #math
#deeplearning #udacity
Udacity
TensorFlow for Deep Learning Training Course | Udacity
Learn online and advance your career with courses in programming, data science, artificial intelligence, digital marketing, and more. Gain in-demand technical skills. Join today!
π»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 βend-userβ library like #SKLearn, as opposed to #TensorFlow which appeals more to researchers and Machine Learning engineer types.
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πVia: @cedeeplearning
πOther social media: https://linktr.ee/cedeeplearning
link: https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html
#machinelearning
#deeplearning
#datascience
#paython
#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 βend-userβ library like #SKLearn, as opposed to #TensorFlow which appeals more to researchers and Machine Learning engineer types.
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πVia: @cedeeplearning
πOther social media: https://linktr.ee/cedeeplearning
link: https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html
#machinelearning
#deeplearning
#datascience
#paython
#libraries
π Build your Own Object Detection Model using #TensorFlow API
π»The World of Object Detection
πΉOne 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 β itβs a priceless feeling!
π Nice reading article
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πVia: @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
π»The World of Object Detection
πΉOne 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 β itβs a priceless feeling!
π Nice reading article
ββββββ
πVia: @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
Analytics Vidhya
Build your Own Object Detection Model using TensorFlow API
Object detection is a computer vision problem of locating instances of objects in an image.TensorFlow API makes this process easier with predefined models.
βοΈ Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning
In this tutorial, you will learn how to fine-tune #ResNet using #Keras, #TensorFlow, and Deep Learning.
https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
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πVia: @cedeeplearning
#machinelearning #AI
#deeplearning #neuralnetworks #math
#tutorial #free
In this tutorial, you will learn how to fine-tune #ResNet using #Keras, #TensorFlow, and Deep Learning.
https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
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πVia: @cedeeplearning
#machinelearning #AI
#deeplearning #neuralnetworks #math
#tutorial #free
PyImageSearch
Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning - PyImageSearch
In this tutorial, you will learn how to fine-tune ResNet using Keras, TensorFlow, and Deep Learning.
βοΈ What are tensors?
Learn from these amazing blogs:
πΉ A Gentle Introduction to Tensors for Machine Learning with NumPy by: Jason Brownlee. https://machinelearningmastery.com/introduction-to-tensors-for-machine-learning/
πΉ WTF is a Tensor?!? by: Matthew Mayo.
https://www.kdnuggets.com/2018/05/wtf-tensor.html
πΉ Quick ML Concepts: Tensors by: Chi Nok Enoch Kan.
https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f
πΉ Our Instagram post covering this topic: https://www.instagram.com/p/CCSnIO9AVfd/?igshid=a2bgrgoip8zx
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πVia: @cedeeplearning
#tensor #tensorflow #machinelearning
#neuralnetworks #deeplearninig #tutorial
Learn from these amazing blogs:
πΉ A Gentle Introduction to Tensors for Machine Learning with NumPy by: Jason Brownlee. https://machinelearningmastery.com/introduction-to-tensors-for-machine-learning/
πΉ WTF is a Tensor?!? by: Matthew Mayo.
https://www.kdnuggets.com/2018/05/wtf-tensor.html
πΉ Quick ML Concepts: Tensors by: Chi Nok Enoch Kan.
https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f
πΉ Our Instagram post covering this topic: https://www.instagram.com/p/CCSnIO9AVfd/?igshid=a2bgrgoip8zx
ββββββ
πVia: @cedeeplearning
#tensor #tensorflow #machinelearning
#neuralnetworks #deeplearninig #tutorial
MachineLearningMastery.com
A Gentle Introduction to Tensors for Machine Learning with NumPy - MachineLearningMastery.com
In deep learning it is common to see a lot of discussion around tensors as the cornerstone data structure. Tensor even appears in name of Google's flagship machine learning library: