Introduction to Machine Learning

Introduction to Machine Learning

Weights & Biases via YouTube Direct link

2. Multi-Layer Perceptrons

4 of 13

4 of 13

2. Multi-Layer Perceptrons

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Introduction to Machine Learning

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  1. 1 Intro to ML: Course Overview
  2. 2 0. What is machine learning?
  3. 3 1. Build Your First Machine Learning Model
  4. 4 2. Multi-Layer Perceptrons
  5. 5 3. Convolutional Neural Networks
  6. 6 4. Autoencoders
  7. 7 5. Sentiment Analysis
  8. 8 6. Recurrent Neural Networks [RNNs]
  9. 9 7. Text Generation using LSTMs and GRUs
  10. 10 8. Text Classification Using Convolutional Neural Networks
  11. 11 9. Hybrid LSTMs [Long Short-Term Memory]
  12. 12 10. Seq2Seq Models
  13. 13 Weights & Biases: The AI Developer Platform for MLOps and LLMOps

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