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Convolutional Neural Network: An Overview

Analytics Vidhya

Let’s start by familiarizing ourselves with the meaning of CNN (Convolutional Neural Network) along with its significance and the concept of convolution. What is Convolutional Neural Network? Convolutional Neural Network is a specialized neural network designed for visual […].

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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown.

BERT 400
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Top 10 Deep Learning Projects for Beginners

Pickl AI

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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Digging Into Various Deep Learning Models

Pickl AI

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

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Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures

Marktechpost

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models. It was introduced in the paper “Attention is All You Need” by Vaswani et al.

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AI News Weekly - Issue #346: Meet 16 Experts on AI's Potential and Risks - Aug 17th 2023

AI Weekly

cmswire.com Why humans can't use NLP to speak with the animals We’ve already got machine-learning systems and natural language processors that can translate human speech into any number of existing languages, and adapting that process to convert animal calls into human-interpretable signals doesn’t seem that big of a stretch.

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How to Visualize Deep Learning Models

The MLOps Blog

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.