Share this link via
Or copy link
Overview
GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence What you'll learn: Apply RNNs to Time Series Forecasting (tackle the ubiquitous "Stock Prediction" problem)Apply RNNs to Natural Language Processing (NLP) and Text Classification (Spam Detection)Apply RNNs to Image ClassificationUnderstand the simple recurrent unit (Elman unit), GRU, and LSTM (long short-term memory unit)Write various recurrent networks in Tensorflow 2Understand how to mitigate the vanishing gradient problemUnderstand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and...
Syllabus
- Welcome
- Google Colab
- Machine Learning and Neurons
- Feedforward Artificial Neural Networks
- Recurrent Neural Networks, Time Series, and Sequence Data
- Natural Language Processing (NLP)
- In-Depth: Loss Functions
- In-Depth: Gradient Descent
- Extras
- Appendix / FAQ Finale
Instructor
Lazy Programmer Inc.
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.