Deep Learning

Deep Learning news and articles

Content:
OpenAI has the potential to revolutionize the way businesses operate, allowing them to streamline processes, improve customer experiences, and make data driven decisions that drive growth and success....


Keywords: chatbot, deep learning, container, machine
Content:
Image generated by DALL.E2The Vision Transformer ViT is state of the art deep learning model designed to process and interpret visual information. It utilizes novel attention based approach to identify key features and patterns within images, resul...


Keywords: turing, ai , imagenet, object
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I m running an LSTM based model training on Kaggle. use Pytorch Lightning and wandb logger for that.That s my model s class class Model pl.LightningModule def init self, input size int, hidden size int, bidirectional bool False, lstm layers...


Keywords: gpu, lstm, metric, kaggle, pytorch
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The 1 ranked augmented analytics Decision Intelligence Platform adds deep integration of OpenAI into its 2023 release Pyramid Analytics Pyramid , leading business analytics and decision intelligence provider, announced at theGartner Data 38 Anal...


Keywords: startup, sql, ai , low-code
Content:
The PyTorch team has officially released PyTorch 2.0, which was first previewed back in December 2022 at the PyTorch Conference. PyTorch is Linux Foundation machine learning framework that was originally developed by Meta. This release includes high ...


Keywords: openai, linux, python, gpu, ml
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OpenAI announces GPT 4 which is much better than ChatGPT, Stanford trains small but powerful LLM based on data generated by GPT3.5, AI product announcements by Microsoft and Google...


Keywords: startup, database, turing, cpu, ai
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To say that artificial intelligence is trending would be an understatement. After the launch of...The post AI vs Machine Learning vs Deep Learning and What 8217 s Next appeared first on HackerRank Blog....


Keywords: dl , algorithms, visual, ai
Content:
was researching about using deep learning for time series forecasting applications when came across two experiments by the Nixtla team. They showed that their traditional statistical ensemble comprised of AutoARIMA, ETS, CES, and DynamicOptimizedThe...


Keywords: ensemble methods, time series, api
Content:
Recurrent neural networks (RNNs), originally developed for natural language processing, hold great promise for accurately describing strongly correlated quantum many-body systems. Here, we employ 2D RNNs to investigate two prototypical quantum many-body Hamiltonians exhibiting topological order. Specifically, we demonstrate that RNN wave functions can effectively capture the topological order of the toric code and a Bose-Hubbard spin liquid on the kagome lattice by estimating their topological e...


Keywords: natural language processing, network, neural
Content:
am writing an NLP model from scratch in Python, using only NumPy for most of the functions.import numpy as np my loss and activation functionsdef relu x return np.maximum 0, x def relu prime x return np.where x gt 0, 1, 0 def sigmoid x retur...


Keywords: nlp, network, coding, sklearn, python
Content:
programmed neural network in Python to estimate revenue and utilization based on various product features and price. Now, want to use What If analysis and the gradient descent algorithm to estimate the price at which my revenue and utilization will b...


Keywords: network, neural network, python, tpu
Content:
CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks) are two different types of neural networks that are commonly used in deep learning for different tasks. LSTM (Long Short-Term Memory) is a type of RNN that is designed to address the problem of vanishing gradients. CNNs are typically used for image processing tasks, such as object detection, image classification, and image segmentation. They take advantage of the fact that images have a hierarchical structure, with low-level features such as edges and corners building up to more complex features such as shapes and textures....


Keywords: deep learning, design, classification, network,
Content:
ABC News An interview with Sam Altman on OpenAI s GPT 4, how ldquo people should be happy rdquo that OpenAI is ldquo little bit scared of rdquo its tools, misinformation, rivals, and more mdash ldquo This will be the greatest technology humani...


Keywords: openai, test, gpt
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Learn how to connect n8n with ChatGPT and effectively use this chatbot. Prompt engineering and prompt chaining is the trick...


Keywords: sql, html , python, ai
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Published in collaboration with OpenResearch and the University of Pennsylvania, the paper tries to qualify GPT technology as general purpose technologyThe post OpenAI Publishes Yet Another Lame Paper appeared first on Analytics India Magazine....


Keywords: openai, ai , react, design

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