Tutorial covers: basics of LSTM, what they do, and their real world applications. LSTM is a variant of Recurrent Neural Network or RNN, and is proven to work well with learning & remembering patterns across time.
We shall also discuss two quite popular applications of LSTM: Sentence Completion & Text Classification, along with a functional walkthrough of how LSTMs pull off a fabulous job.
Happy learning :)
🔥 Sections:
00:00 Introduction
01:49 But, what's LSTM?
05.44 LSTM architecture
06:30 Real-world examples
09:41 Your bonus!!
🔥 Resources:
Sentiment Analysis Project using LSTM: • Sentiment Analysis with LSTM | Deep Learni...
Mathematics behind LSTM: http://colah.github.io/posts/2015-08-...
Word Embeddings (for Text-to-Numeric transformations): • Word Embeddings Explained
Our other popular ML Projects:
1. Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
---- a. Model Building: • Sentiment Analysis Machine Learning Projec... (Part-1)
---- b. Model Deployment: • PIP + Virtual Environment | Flask Deployme... (Part-2)
2. Sentiment Analysis Project using Traditional ML: • Sentiment Analysis Project using Machine L...
3. Analytics-enabled Marketing: • Marketing Analytics Project using Machine ...
4. Credit Scoring Project: • Credit Scoring Project using Machine Learn...
5. Face Recognition Project: • Face Detection Machine Learning Project | ...
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