Feb 17, 2025 · 7 min read · PyTorch Overview PyTorch is a Python library designed for building deep learning projects. It simplifies array-based calculations and allows for the creation of dynamic neural networks with auto differentiation, which is crucial for deep learning. Ke...
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Nov 8, 2024 · 9 min read · Introduction Smartphone processors are the heart and soul of our mobile devices, driving everything from simple texting to high-definition gaming and multitasking. While many processors deliver exceptional performance and efficiency, some have falle...
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Jun 29, 2024 · 7 min read · A cell is fundamental unit of life. In the similar way, a pytorch tensor is a fundamental building block of pytorch. Tensors are a specialized data structure that are very similar to arrays and matrices. In PyTorch, we use tensors to encode the input...
Join discussionFeb 13, 2024 · 7 min read · TensorFlow, as the name suggests, revolves around the concept of tensors. Tensors serve as the fundamental building blocks upon which TensorFlow, one of the most powerful and widely-used deep learning frameworks, is built. But what exactly is a tenso...
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May 17, 2023 · 4 min read · Machine learning has revolutionized the way we look at data. With the advent of sophisticated algorithms and incredibly fast hardware, it is now possible to train models that can predict and classify data with remarkable accuracy. However, training t...
Join discussionFeb 23, 2023 · 3 min read · PyTorch is one of the main libraries when it comes to Deep Learning in Python. Tensors, the key data structure of the framework, can be manipulated in multiple ways. One of the available methods is the gather function. The following is the signature ...
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Feb 14, 2023 · 11 min read · TensorFlow is a library that helps engineers build and train deep learning models. It provides all the tools we need to create neural networks. We can use TensorFlow to train simple to complex neural networks using large sets of data. TensorFlow is u...
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Jan 14, 2023 · 1 min read · So I've stumbled upon an article mentioning that the most powerful supercomputer in 2010 was Tianhe-1 with a peak performance of 2.5 petaFLOPS. Fast forward, it's 2023. We've got Graphcore IPUs available for free (ref link so I'll use it for paid pl...
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Dec 3, 2020 · 6 min read · By Srijan PyTorch is an open-source Python-based library. It provides high flexibility and speed while building, training, and deploying deep learning models. At its core, PyTorch involves operations involving tensors. A tensor is a number, vector, m...
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Jul 16, 2018 · 7 min read · By Daniel Deutsch Table of Contents What this is about The reference code base 1. Fetch and print values within Session.run 2. Use the tf.Print operation 3. Use Tensorboard visualization for monitoring a) clean the graph with proper names and name s...
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