Comprehensive 5-Week Machine Learning Course with PyTorch and TensorFlow
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I have developed a comprehensive machine learning course covering all the basics to advance concepts over 5 weeks. This course is perfect for beginners who want to learn more about machine learning and for professionals who want to upskill themselves. Here’s a summary of the material covered in this 5-week course on Machine Learning:
Week 1: Introduction to Machine Learning
- Basics of machine learning
- Linear regression
- Logistic regression
- K-means algorithm
- Artificial neural networks
Hands-on experience with handwritten and scikit-learn implementations
- Week 1 Materials:
Week 2: Deep Learning with TensorFlow
- Theory and handwritten code for deep learning
- Introduction to TensorFlow
Hands-on experience with TensorFlow implementation
Week 2 Materials:
Week 3: Advanced Deep Learning with TensorFlow
- Convolutional neural networks
- Recurrent neural networks
- Natural language processing with TensorFlow
Hands-on experience with TensorFlow implementation
Week 3 Materials:
Week 4: Deep Learning with PyTorch
- Introduction to PyTorch
- Convolutional neural networks with PyTorch
Hands-on experience with PyTorch implementation
Week 4 Materials:
Week 5: Transfer Learning with PyTorch and TensorFlow
- Using pre-trained models to improve model accuracy
- Transfer Learning with TensorFlow
- Transfer Learning with PyTorch
Hands-on experience with PyTorch and TensorFlow implementation
Week 5 Materials:
Bonus Week: Generative AI
Introduction to Generative Adversarial Network (GAN) Tensorflow implementation of GAN Introduction to Transformer Tensorflow implementation of Transformer
Bonus Week Materials: