December 2022
Intermediate to advanced
6h 37m
English
Closed Captioning available in English
Overview
In this 6-hour course, you will gain an in-depth understanding of Artificial Intelligence, Deep Learning, and the key types of neural networks, including ANN, CNN, and RNN. Explore neural networks from a practical perspective with hands-on coding examples and real-world applications.
What I will be able to do after this course- Learn about linear and logistic regression in ANN
- Understand cross-entropy between two probability distributions
- Understand the convolution operation which scans inputs with respect to their dimensions
- Learn about VGG16, a convolutional neural network model
- Master the use of recurrent neural networks (RNNs) and Long Short-Term Memory (LSTM)
Yiqiao Yin is a Principal AI Engineer with over 10 years of experience specializing in Computer Vision, NLP, and Generative AI. He has worked with top companies across various industries, focusing on real-world AI applications. Yiqiao holds an MBA and an M.S. in Finance, and his research interests include Deep Learning and Financial Economics.
Who is it for?This course is perfect for beginners who want to dive deep into Artificial Intelligence and understand key neural network architectures, including ANN, CNN, and RNN. No prior programming experience is required, and the course assumes you have access to a laptop with Colab for hands-on coding.
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