Deep Learning



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Content:
Intel Extension for PyTorch optimises for both imperative mode and graph mode.The post Intel releases new Extension for PyTorch that aims to optimise deep learning for Intel CPUs appeared first on Analytics India Magazine....


Keywords: pytorch, deep learning, test, cpu
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Benchmarks are as important measure of progress in AI as they are for the rest of the software industry. But when the benchmark results come from corporations, secrecy very often prevents the community from verifying them. For example, OpenAI granted...


Keywords: gpt, startup, test, hugging face

Deep Learning Weekly: Issue #250 www.deeplearningweekly.com | Yesterday

Content:
Hey Folks,This week in deep learning, we bring you DeepMind s multi model, multi task, multi embodiment generalist policy that resembles AGI, practical learnings for production level deep learning models, ambient clinical intelligence with PyTorch, a...


Keywords: computer science, analysis, python, deep
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In this tutorial, we examine how the BERT language model works in detail before jumping into coding demo. We then showed how to fine tune the model for particular text classification task....


Keywords: transformer, framework, transfer learning, pre-trained
Content:
am trying to prune InceptionNetV3 from keras trained on imagenet, right now am using tensorflow datasets which has subset of imagenet which use for pruning. Currently my pruned models do not work and returns garbage data when tested using the same da...


Keywords: tensorflow, test, python, metric, imagenet
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img width 696 height 402 src class attachment large size large wp post image alt loading lazy style float left margin 0 15px 15px 0 srcset 1024w, 300w, 768w, 1536w, 150w, 696w, 1068w, 728w, 1844w sizes max width 696px 100vw, 6...


Keywords: framework, python, machine learning, cpu
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Im graduate student in deep learning application area. How model development works is that you have recipe of tricks and guidelines you play around with and cross validate different versions of until you find one that works well. Most research trying...


Keywords: aws, analysis, mathematic, quant, deep
Content:
Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in data centers. The most efficient and well-entrenched method to train such networks is backpropagation, or reverse-mode automatic differentiation. To counter an exponentially increasing energy budget in the artificial intelligence sector, there has been recent interest in analog implementations of neural networks, specif...


Keywords: artificial intelligence, computing, neural network,
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From LEGO competitions to DeepMind s robotics lab DeepMind...


Keywords: deepmind
Content:
Open AccessArticle by 1,2,3, 1, 1, 1, 1 and 2,* 1 School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China 2 Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China 3 Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, China * Author to whom correspondence should be addressed. Academic Editor: Shuanggen Jin Remote Sens. 2022, 14(10), 2433; https://doi....


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Im working on small neural network in python and i m having issues figuring out why the cost doesn t go down. Any ideas hints would be appreciatedimport numpy as npX np.array 0, 0 , 0, 1 , 1, 0 , 1, 1 Y np.array 0, 1, 1, 0 w1 np.array 0....


Keywords: tpu, network, neural network, python
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In recent years, machine learning (ML) algorithms have become widespread in all the fields of remote sensing (RS) and earth observation (EO). This has allowed the rapid development of new procedures to solve problems affecting these sectors. In this context, this work aims at presenting a novel method for filtering speckle noise from Sentinel-1 ground range detected (GRD) data by applying deep learning (DL) algorithms, based on convolutional neural networks (CNNs). The paper provides an easy yet...


Keywords: dl , algorithms, machine learning,
Content:
In general insurance companies, a correct estimation of liabilities plays a key role due to its impact on management and investing decisions. Since the Financial Crisis of 2007-2008 and the strengthening of regulation, the focus is not only on the total reserve but also on its variability, which is an indicator of the risk assumed by the company. Thus, measures that relate profitability with risk are crucial in order to understand the financial position of insurance firms. Taking advantage of th...


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The workshop covered various initiatives and projects launched by Intel, alongside deep diving into Intel Optimisation for TensorFlow to enhance the performance on Intel platforms and more. The post Its wrap Intel oneAPI masterclass on Neural Compre...


Keywords: tensorflow, hpc, cpu, analytic, ai
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Get feel of how neural networks work on LiDAR data, how LiDAR differs from 2D images, and how LiDAR annotation works....


Keywords: object detection, classification, tpu, mobile

Deep Learning Weekly: Issue #250 www.deeplearningweekly.com | Yesterday


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