Deep Learning

Deep Learning news and articles

Content:
am working on this Image Captioning project using CNN LSTM. Currently am using googleNet as CNN and lstm, bilstm as RNN. For embedding am using word2vec algorithm. Dataset used is flickr8k. As you can see from the blue scores, they are very close i.e...


Keywords: lstm, word embedding, tpu, resnet
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I m encountering ValueError in my Python code when trying to perform time series prediction using an LSTM model. The error specifically states ValueError Found input variables with inconsistent numbers of samples 741, 2223 Here s simplified versio...


Keywords: python, metric, tensorflow, test, time
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Unraveling the Power of Neural Networks Through Detailed Explanations and Real world Examples like Face detection with nn usingpythonHello there, Im Rauf. Are you ready to embark on journey through the intricate landscape of neural networks Buckle u...


Keywords: python, metric, tensorflow, node, artificial
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Time series forecasting has received a lot of attention, with recurrent neural networks (RNNs) being one of the widely used models due to their ability to handle sequential data. Previous studies on RNN time series forecasting, however, show inconsistent outcomes and offer few explanations for performance variations among the datasets. In this paper, we provide an approach to link time series characteristics with RNN components via the versatile metric of distance correlation. This metric allows...


Keywords: metric, time series, correlation, network,

OpenAI faces complaint over fictional outputs www.artificialintelligence-news.com | Today

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European data protection advocacy group noyb has filed complaint against OpenAI over the company 8217 s inability to correct inaccurate information generated by ChatGPT. The group alleges that OpenAI 8217 s failure to ensure the accuracy of persona...


Keywords: big data, gpt, chatgpt, ai
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From Rules to Prompts, upward on ease but downward on debug abilityPhoto by Markus Spiske onUnsplashIn todays world, where data is abundant and comes in various forms, extracting meaningful information from text called unstructured has become param...


Keywords: java, machine learning, neural network

Collection of 50 AI courses in 2024 www.analyticsinsight.net | Yesterday

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Explore these collection of top 50 AI courses in 2024 from top institutions and E learning platforms Welcome to the AI Odyssey This collection contains the collection of 50 AI courses in 2024 that have been carefully selected to take you through the...


Keywords: machine learning, algorithms, ai
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Machine learning is playing an increasing role in hydrology, supplementing or replacing physics-based models. One notable example is the use of recurrent neural networks (RNNs) for forecasting streamflow given observed precipitation and geographic characteristics. Training of such a model over the continental United States has demonstrated that a single set of model parameters can be used across independent catchments, and that RNNs can outperform physics-based models. In this work, we take a ne...


Keywords: neural network, network
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In the ever evolving world of skincare, finding the perfect regimen tailored to your unique skin type and concerns can be daunting task. However, thanks to advancements in artificial intelligence AI and natural language processing NLP , achieving ...


Keywords: nlp, tpu, api , python
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Leonardo AIImagine being able to communicate with others without speaking word. Hand signs have been an integral part of human communication for centuries, conveying emotions, ideas, and messages across languages and cultures. But what if we could ta...


Keywords: design, test, machine learning, coding
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In this tutorial, we are going to learn about how to build LSTM models for time series predictions. LSTM stands for Long Short Term MemoryThese are models built on recurrent neural network RNN that are particularly effective for sequence prediction...


Keywords: python, tensorflow, time series, network
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Towards Identification of Breast Cancer in Mammogram Images using Deep Learning Part1Introduction and Dataset DescriptionPhoto by National Cancer Institute onUnsplashBreast cancer is one of the leading causes of cancer in the entire world. Its aware...


Keywords: machine learning, deep learning, hive

Why Moderna Partnered with OpenAI analyticsindiamag.com | Today

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Moderna plans to use ChatGPT Enterprise for mRNA medicine development to launch up to 15 new products in the next five years.The post Why Moderna Partnered with OpenAI appeared first on Analytics India Magazine....


Keywords: gpt, design, seo, openai, generative
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ChatGPT has landed in hot water again in the European Union EU due to its tendency to spout inaccuracies. This time, the issue centers around privacy rights, with complaint filed against the AI for its inability to correct misinformation it generat...


Keywords: framework, test, spark, gpt, chatgpt
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With the increasing enrichment and development of the financial derivatives market, the frequency of transactions is also faster and faster. Due to human limitations, algorithms and automatic trading have recently become the focus of discussion. In this paper, we propose a bidirectional LSTM neural network based on an attention mechanism, which is based on two popular assets, gold and bitcoin. In terms of Feature Engineering, on the one hand, we add traditional technical factors, and at the same...


Keywords: network, lstm, bitcoin, algorithms, neural

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