IIRF Online > Development > Data Science > Deep Learning > IBM: Deep Learning Fundamentals with Keras
IBM: Deep Learning Fundamentals with Keras by Edx
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
Course Highlights
- You will learn about exciting applications of deep learning and why it is really rewarding to learn how to leverage deep learning skills.
- You will learn about neural networks and how theylearn and update their weights and biases.
- You will learn about thevanishing gradient problem.
- You will learn about building a regression model using the Keras library.
- You will learn about building a classification model using the Keras library.
- You will learn about supervised deep learning models, such as convolutional neural networks and recurrent neural networks, and how to build a convolutional neural network using the Keras library.
- You will learn about unsupervised learning models such as autoencoders.
Skills you will learn!
Curriculum
3 Topics
Introduction to Deep Learning
Biological Neural Networks
Artificial Neural Networks - Forward Propagation
4 Topics
Gradient Descent
Backpropagation
Vanishing Gradient
Activation Functions
3 Topics
Introduction to Deep Learning Libraries
Regression Models with Keras
Classification Models with Keras
4 Topics
Shallow and Deep Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Autoencoders
IBM: Deep Learning Fundamentals with Keras
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