25 terms to explain the basics of neural networks, deep learning, Convolutional Neural Network, Recurrent Neural network & gradient descent in data science
In this article, you will learn through a deep learning dictionary which you can refer to for basic definitions.
This article is part of an ongoing blog series on Natural Language Processing (NLP).we will discuss the recent word-era embedding techniques.
Learn about text classification and its applications in social media sentiment analysis, email spam detection, and more. Start your NLP journey.
Explore questions on Deep Learning which every data scientist should know. Answer these questions on neural networks and deep learning.
Learn about Attention Mechanism, its introduction in deep learning, implementation in Python using Keras, and its applications in computer vision.
Explore the evolution of Computer Vision Models from LeNet to modern architectures and their transformative impact on visual data. Read Now!
Using business analytics, we will solve business case study assignments in this article. Read more to know!
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