Modern Text-to-Speech Systems Review by hydrosphere.io - https://youtu.be/8rXLSc-ZcRY
#AI #ML #TextToSpeech #DataScience #MachineLearning
#AI #ML #TextToSpeech #DataScience #MachineLearning
Change input shape dimensions for fine-tuning with Keras
In this tutorial, you will learn how to change the input shape tensor dimensions for fine-tuning using Keras. You’ll understand how to apply transfer learning to images with different image dimensions than what the CNN was originally trained on.
http://bit.ly/2NNceOv
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In this tutorial, you will learn how to change the input shape tensor dimensions for fine-tuning using Keras. You’ll understand how to apply transfer learning to images with different image dimensions than what the CNN was originally trained on.
http://bit.ly/2NNceOv
#ML #AI #ArtificialIntelligence #DataScience #MachineLearning #Keras #deeplearning #dl
PyImageSearch
Change input shape dimensions for fine-tuning with Keras - PyImageSearch
In this tutorial, you will learn how to change the input shape tensor dimensions for fine-tuning using Keras. After going through this guide you’ll understand how to apply transfer learning to images with different image dimensions than what the CNN was originally…
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DatasetGAN is an automatic procedure to generate massive datasets of high-quality semantically segmented images requiring minimal human effort. Presented by an international team of researchers, it outperforms all semi-supervised baselines and is on par with fully supervised methods using labor-intensive annotations.
Web Page — https://bit.ly/2T8S5WA
Paper — https://bit.ly/2SfcDMP
Code — Coming Soon
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DatasetGAN is an automatic procedure to generate massive datasets of high-quality semantically segmented images requiring minimal human effort. Presented by an international team of researchers, it outperforms all semi-supervised baselines and is on par with fully supervised methods using labor-intensive annotations.
Web Page — https://bit.ly/2T8S5WA
Paper — https://bit.ly/2SfcDMP
Code — Coming Soon
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Subscribe to our weekly newsletter — https://bit.ly/3fXLuXW
Deep Learning Do It Yourself!
The website is a collection of more than 20 modules on learning deep learning. As a student, you can walk through the modules at your own pace and interact with others. You can also contribute to the materials by adding new modules yourself.
https://bit.ly/3vMub0l
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Subscribe to our weekly newsletter — https://bit.ly/3cS4G7y
The website is a collection of more than 20 modules on learning deep learning. As a student, you can walk through the modules at your own pace and interact with others. You can also contribute to the materials by adding new modules yourself.
https://bit.ly/3vMub0l
#DataScienceDigest #DataScience #MachineLearning #ArtificialIntelligence #AI #ML #deeplearning
Subscribe to our weekly newsletter — https://bit.ly/3cS4G7y
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Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
💡Make a Rock-Solid ML Model Using Sklearn Pipeline
Most of data is useless unless you perform a decent amount of transformation and preprocessing. In this article, you'll learn how to use Sklearn to design and build robust ML models.
https://bit.ly/2W29jq9
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Most of data is useless unless you perform a decent amount of transformation and preprocessing. In this article, you'll learn how to use Sklearn to design and build robust ML models.
https://bit.ly/2W29jq9
#DataPhoenix #DataScience #MachineLearning #ArtificialIntelligence #AI #ML #Data
Medium
Make a rock-solid ML model using Sklearn Pipeline!
Why, How & When to use Sklearn’s Pipeline!
💥Hello everyone!
We hope your day is going great, Data Phoenix presented our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
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We hope your day is going great, Data Phoenix presented our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
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Data Phoenix
Data Phoenix Digest - ISSUE 47
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.
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📢 We are live and starting Data Phoenix webinar "Trends and Applications of AI/ML and Analytics in Sports” with Rajesh Kumar (Assistant Professor at AI Research Centre, Woxsen University). Join us: https://www.youtube.com/live/w8DG0HAqwcA
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YouTube
Webinar "Trends and Applications of AI/ML and Analytics in Sports"
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Data Phoenix team invites you all to our…
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📢 We are live and starting Data Phoenix webinar "Using memory with LLM applications in production” with Sergio Prada (Co-founder and CTO at Metal). Join us: https://dataphoenix.info/live-stream/
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