Deep Learning

Neural Networks and Deep Learning, Michael Nielsen

Neural Networks and Deep Learning, Michael Nielsen

If you’ve ever wondered how artificial intelligence recognizes your face in photographs, translates languages, or operates cars, the answer is at the heart of neural networks and deep learning. These advanced technologies are revolutionizing our way of life and work. But let’s admit it a bit: entering the realm of neural networks may be overwhelming. Fortunately, Michael Nielsen’s book Neural Networks and Deep Learning is […]

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Loss of Plasticity in Deep Continual Learning: Why Modern AI Hits a Learning Ceiling

loss of plasticity in deep continual learning​

Have you ever tried to train your model using new data but then watched it slow down after a few changes? It’s like giving your child new textbooks only to find that they’re unable to learn new material. In AI this frustrating obstacle is referred to as loss of plasticity deep continuous learning, which is an invisible obstacle for

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GPU Workstation for Deep Learning : A Beginner-Friendly Guide

gpu workstation for deep learning​

If you’re dipping your toes into the realm of deep learning, you’ve likely encountered three key terms: GPU or workstation and models for training. If you’re anything as I was at early on, the words could be daunting. However, by the time you finish this article, you’ll not only be able to comprehend the concepts but also

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How CIGS Deep Learning Seismic Is Changing the Way We Understand the Earth

CIGS Deep Learning Seismic

Imagine standing in the middle of a vast, empty desert. Beneath your feet, there could be oil, natural gas, or valuable minerals—but without digging, how would you know? That’s where seismic interpretation comes in. It’s like using sonar to scan underground layers of the Earth. But here’s the challenge: Interpreting this data has always been

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Fuzzing Deep Learning Compilers with HIRGen: A Beginner-Friendly Guide

fuzzing deep learning compilers with hirgen

Suppose your oven occasionally burns the top of the cake you’re baking or leaves the inside raw. Before placing your cake in the oven, wouldn’t you want a means to test it out at various temperatures and times? Fuzzing accomplishes the same thing but for deep learning compilers. HIRGen is the instrument that is making

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Best Practices for Training Deep Learning Models

best practices for training deep learning model

Best Practices for Training Deep Learning Models a kid to identify objects. They might never fully learn if you give them too few or similar instances. However, magic occurs when structure, patience, and examples are properly balanced. From voice assistants and translation apps to facial recognition and self-driving cars, Best Practices for Training Deep Learning

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