PyTorch: Deep Learning and Artificial Intelligence
PyTorch: Deep Learning and Artificial Intelligence Course
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
The PyTorch: Deep Learning and Artificial Intelligence course on Udemy is a comprehensive course that covers a wide range of topics in deep learning and artificial intelligence. The course is designed for both beginners and experts, and it covers everything from the basics of deep learning to advanced topics like neural networks for computer vision, time series forecasting, NLP, GANs, reinforcement learning, and more.
The course is taught by the Lazy Programmer Team, who are experts in the field of deep learning and artificial intelligence. The course covers a wide range of topics, including artificial neural networks (ANNs), deep neural networks (DNNs), time series forecasting, computer vision, GANs (Generative Adversarial Networks), recommender systems, image recognition, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP) with deep learning, and more.
The course is designed to be hands-on, so you’ll be able to apply what you learn to real-world problems. You’ll learn how to build a deep reinforcement learning stock trading bot, predict stock returns, create state-of-the-art image classifiers using transfer learning, and more.
Overall, the PyTorch: Deep Learning and Artificial Intelligence course on Udemy is an excellent resource for anyone who wants to learn about deep learning and artificial intelligence. It’s comprehensive, well-structured, and taught by experts in the field.
What you’ll learn in PyTorch: Deep Learning and Artificial Intelligence Course
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
- Predict Stock Returns
- Time Series Forecasting
- Computer Vision
- How to build a Deep Reinforcement Learning Stock Trading Bot
- GANs (Generative Adversarial Networks)
- Recommender Systems
- Image Recognition
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Natural Language Processing (NLP) with Deep Learning
- Demonstrate Moore’s Law using Code.
- Transfer Learning to create state-of-the-art image classifiers.
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Who this course is for:
- Beginners to advanced students who want to learn about deep learning and AI in PyTorch
