LSTM

Day 10 – Hands-On Project: Sentiment Analysis with Deep Learning

Introduction Sentiment analysis is one of the most popular applications of NLP and deep learning. It allows AI models to understand opinions, emotions, or attitudes expressed in text, making it invaluable for businesses, social media monitoring, and customer experience. At curiositytech.in, learners in Nagpur start by building end-to-end sentiment analysis projects, progressing from data preprocessing […]

Day 10 – Hands-On Project: Sentiment Analysis with Deep Learning Read More »

, , , , , ,
🔹Alt Text: A visual overview showing how deep learning models process human language in Natural Language Processing (NLP), including stages like text preprocessing, word embeddings, neural network layers, and output predictions such as sentiment or translation.

Day 8 – Natural Language Processing (NLP) with Deep Learning

Introduction Natural Language Processing (NLP) is the bridge between human language and machines. From chatbots to sentiment analysis, NLP powers many modern AI applications. Unlike image data, text is sequential, sparse, and complex, requiring specialized neural network architectures like RNNs, LSTMs, and Transformers. At CuriosityTech.in in Nagpur, beginners start their NLP journey by building end-to-end

Day 8 – Natural Language Processing (NLP) with Deep Learning Read More »

, , , , , , ,

Day 7 – Recurrent Neural Networks (RNNs) & LSTMs for Sequential Data

Introduction While CNNs excel at understanding images, Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs) are designed for sequential data. This includes text, speech, stock prices, and time series data. At CuriosityTech.in, learners explore RNNs and LSTMs through projects like sentiment analysis, stock prediction, and chatbot creation. By handling sequential patterns, students gain

Day 7 – Recurrent Neural Networks (RNNs) & LSTMs for Sequential Data Read More »

, , , , , , ,