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Archive 2021A Reflection on the Past Decade
You won't find the year 2020 or GPT there, but overall it's quite well done :) https://towardsdatascience.com/the-decade-of-artificial…
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Archive 2019Facebook Quietly Releases a New Version of the PyTorch Library, Featuring Several Amazing Enhancements!
AI developers, particularly those working with images, are in for a treat. This library competes for their attention primarily with TensorFlow. At the beginning of the year, the number of articles citing it increased by nearly 200%...
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Archive 2019I Completed Another AI Certification :)
It was the final course on TensorFlow from Google – time series modelling. It began, as usual, with data preparation. This was followed by RNNs and 1D Conv and similar algorithms….
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Archive 2019Another Certificate from Google is Home!
This is the third course from the TensorFlow series, and this time it was about natural language processing – my area of expertise. For me, it was more of a refresher, but I appreciate...
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Archive 2019Today I Completed Another Course Specialising in Machine Learning with TensorFlow
This time it was about advanced techniques for improving computer vision models – Convolutional Neural Networks in TensorFlow. Strategies to prevent overfitting were demonstrated, such as…
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Archive 2019Another Certificate for the Collection: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.
This time it was quite easy. Nicely designed to create simple networks using TensorFlow. I like the idea of using the Colaboratory environment. Given that the course is…
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Archive 2019How Can Artificial Intelligence Improve Our Roads? A Group of Students Translates Theory into Practice
A group of American students uses TensorFlow and a camera to identify various road damages, such as cracks and potholes. The aim was to teach the programme to quickly locate road damage from footage captured by a camera mounted on the car's bonnet...
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Archive 2019Auto-Keras and AutoML
Google introduces Neural Architecture Search, abbreviated as NAS. NAS is essentially an algorithm that searches for the most optimal neural network to perform a specific task for your particular dataset.
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Archive 2018For Python Developers!
Do you also install TensorFlow using conda rather than pip? I suspected it was a better method (as Anaconda repeatedly states), but I had no idea…
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Archive 2017Second Certificate from Stanford University by Andrew Ng
I finally have my second certificate from Stanford University by Andrew Ng :) This time it was about the 'magic' of working better with deep learning and the 'tricks' of how to…
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