Build drowsiness detection system, predict energy consumption, forecast weather with CNN, RNN, GRU, Keras, Tensorflow
Sub Category
- Operating Systems & Servers
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Objectives
- Learn the basic fundamentals of deep learning, reinforcement learning, neural networks, and also getting to know their use cases
- Learn how to build drowsiness detection model using Convolutional Neural Networks and Keras
- Learn how to build drowsiness detection system using OpenCV
- Learn how to build traffic light colour detection model using Convolutional Neural Networks and Keras
- Learn how to build traffic light colour detection system using OpenCV
- Learn how to build maze solver using reinforcement learning
- Learn how to create maze using Pygame
- Learn how to build smart traffic light system using reinforcement learning
- Learn how to create traffic light simulation using Pygame
- Learn how to predict energy consumption using Multilayer Perceptron Regression
- Learn how to forecast weather using recurrent neural networks and gated recurrent unit
- Learn how to build handwritten digit recognition using artificial neural networks
- Learn how deep learning models work. This section covers input data, forward propagation, prediction output, loss calculation, backpropagation, and optimization
- Learn how reinforcement learning models work. This section covers environment observation, action selection, reward, penalty, policy update, continuous learning
- Learn how neural network models work. This section covers how input data flows through weighted connections and hidden layers
Pre Requisites
- No previous experience in deep learning is required
- Basic knowledge in Python
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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