Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: 鈥� Describe what a neural network is, what a deep learning model is, and the difference between them. 鈥� Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. 鈥� Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. 鈥� Build deep learning models and networks using the Keras library.
Regression Models with Keras
Skills You'll Learn
Deep Learning, Artificial Neural Network, Artificial Intelligence (AI), keras, Machine Learning
Reviews
4.7 (1,789 ratings)
- 5 stars75.62%
- 4 stars18.22%
- 3 stars4.19%
- 2 stars1.06%
- 1 star0.89%
YF
Jul 12, 2024
The video and Jupyter notebooks were both concise and of excellent quality. However, the versions of dependent libraries are somewhat outdated, which makes it quite challenging to run locally.
AB
Mar 16, 2020
Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
From the lesson
Keras and Deep Learning Libraries
In this module, you will learn about the different deep learning libraries: Keras, PyTorch, and TensorFlow. You will also learn how to build regression and classification models using the Keras library.
Taught By
Alex Aklson
Ph.D., Data Scientist