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Natural Language Processing is how machine understands and deals with human languages. Here, we will see some basic concepts of NLP.
In this blog, we will understand how to create and train a simple CNN for classification of handwritten digits from a popular dataset.
RNN are mile stone in deep learning for sequential modeling. In this article we will understand some problems with Recurrent neural networks.
In this article, we understand indexing in Natural Language Processing for Information retrieval in with implementation in Python
This article is a guide to Building a Hand Tracking System using OpenCV. Let's understand this with implementation in python
We will develop a model to detect covid19 cough from mel spectrogram using CNN. Mel spectrogram is a spectrogram, converted to a Mel scale.
In this article, we are going to see how to perform natural language processing tasks using a popular library named "SpaCy
Latent Dirichlet Allocation (LDA), its iterative process & similarity to PCA for dimensionality reduction in text analysis & topic modeling.
In this article, we will learn Face recognition using OpenCV in Python & master the skills to implement facial recognition effortlessly.
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique. Let’s explore LDA, it's working, and the similarity b/w LDA and PCA
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