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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning Blog

Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini. Join a book club or discussion group: Engaging in conversations and discussions about books, articles, or any other topic exposes you to different perspectives and new vocabulary. gemma-2b-instruct ml.g5.xlarge gemma-2b-instruct ml.g5.xlarge

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Triplet Loss with Keras and TensorFlow

Flipboard

Want access to pre-configured Jupyter Notebooks running on Google Colab? Gain access to Jupyter Notebooks for this tutorial and other PyImageSearch guides that are pre-configured to run on Google Colab’s ecosystem right in your web browser! My mission is to change education and how complex Artificial Intelligence topics are taught.

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Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning

PyImageSearch

Want access to pre-configured Jupyter Notebooks running on Google Colab? Gain access to Jupyter Notebooks for this tutorial and other PyImageSearch guides pre-configured to run on Google Colab’s ecosystem right in your web browser! My mission is to change education and how complex Artificial Intelligence topics are taught.

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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

And indeed we can see other machine learning topics arising to take their place, like “optimization” in the mid-’00s, with “deep learning” springing out of nowhere in 2012. This certainly contributed to the fading of mentions of “neural network” since the appearance of all these new topics could only serve to dilute its document frequency.

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CycleGAN: Unpaired Image-to-Image Translation (Part 3)

PyImageSearch

Want access to pre-configured Jupyter Notebooks running on Google Colab? Gain access to Jupyter Notebooks for this tutorial and other PyImageSearch guides pre-configured to run on Google Colab’s ecosystem right in your web browser! Finally, we return the computed discriminator and generator losses, as shown on Lines 119 and 120.

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OAK-D: Understanding and Running Neural Network Inference with DepthAI API

PyImageSearch

Want access to pre-configured Jupyter Notebooks running on Google Colab? Gain access to Jupyter Notebooks for this tutorial and other PyImageSearch guides that are pre-configured to run on Google Colab’s ecosystem right in your web browser! My mission is to change education and how complex Artificial Intelligence topics are taught.

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The State of Multilingual AI

Sebastian Ruder

I will be focusing on topics related to natural language processing (NLP) and African languages as these are the domains I am most familiar with. It covers the following high-level topics: Status Quo Recent Progress Challenges and Opportunities Status Quo There are around 7,000 languages spoken around the world.