Build a Simple Recurrent Neural Network Using PyTorch | Depth Analysis | Deep Learning | PyTorch

#DeepLearning #NeuralNetworks #pytorch #RNN

👇 Topics are covered in this video:
00:00 Import Libraries
01:23 Prepare Dataset
07:50 Create RNN Model
32:25 Instantiate Model, Loss, Optimizer
01:00:30 Traning the Model
01:53:40 Prediction

NoteBook:

Previous Series:
👉 Mathematics for Data Science
1) Probability and Statistics for Data Science

2) Solving Optimization Problems

3) Linear Algebra and Learning from Data by Gilbert Strang

👉 Supervised Learning Models
1) K-Nearest Neighbours

2) Naïve Bayes Classifiers

3) Logistic Regression

4) Linear Regression

5) Support Vector Machine

6) Decision Tree

7) Ensemble Models

👉 Unsupervised Learning
1) K Means Clustering

2) Hierarchical Clustering

3) Density-based Clustering (DBSCAN)

👉 Recommendation System & Matrix Factorization

👉Natural Language Processing

👉 Productionization and deployment of ML Models
1) Feature Engineering

2)Productionization and Deployment of ML Models

👉 Deep Learning
1) Introduction to Neural Networks and Backpropagation

👉 Machine Leaning Projects For Beginners

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[shwetabhat]

Your content is too good to miss sir !! Thank you for all the efforts. Looking forward to many more 🎉