Complete course on AI, Machine Learning & Deep Learning from Zero to Hero (Part 3)
This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more.
This course provides advanced concepts of artificial intelligence. Students will learn in-demand skills such as machine learning, deep learning, NLP, generative AI, and many more. Students will learn to approach problems in a systematic, data-driven way, which can be applied to various real-world challenges beyond just AI. Studying AI and ML can deepen your understanding of human intelligence and cognition, providing insights into how we learn, think, and make decisions.
- Neural networks and their architecture.
- Activation functions, loss functions, and optimization techniques.
- Training neural networks using backpropagation.
- Image recognition and classification using CNNs.
- Transfer learning with pre-trained CNNs.
- Sequence modelling and time-series prediction.
- Applications in natural language processing (NLP).
- Transformer architecture
- How GANs work: generator and discriminator.
- Introduction to Deep Learning
- Convolutional Neural Network
- Recurrent Neural Network
- Generative AI
- Applications of Generative AI
- GANs
- Previous knowledge of Python Advanced Course
4 modules. 24 hours.
01 Convolutional Neural Network
- Convolutional Neural Network
- Image Classification using CNN
- Transfer Learning with pre-trained CNN
02 Recurrent Neural Network
- Recurrent Neural Network
- Long Short Term Memory
- Gated Recurrent Unit (GRU)
- Time Series prediction
- Applications in Natural Language Processing
- Text Classifications in NLP
- Part 3 - Quiz
03 Generative AI
- Generative AI
- Generative Adversarial Networks
- Train Generative Adversarial Network (GAN)
04 Applications of Generative AI
- Untitled Section
- Part 3 - Final Quiz