5.0
Reviewed Oct 23, 2022Very Clear and Precise knowledge which started from the grass-root level to help newbies come up to the level of understanding deep learning models and algorithms.Thumbs up!!
Introduction to Deep Learning & Neural Networks with Keras
This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning.
Status: Image Analysis
Status: Model Training
IntermediateCourse10 hours
Featured reviews
5.0
Reviewed Jun 2, 2022Excellent course. The instructor was clearly passaionate about the topics covered and very knowledeable. A well designed course that was easy to understand and follow.
5.0
Reviewed Oct 3, 2022I had some information about the subject, but the content on the course was very good in terms of filling some voids in my knowledge Thanks for the great content
4.0
Reviewed Nov 19, 2022Very good course. If we could have the answers to the projects after submission, that would help a lot. Please see if same if possible. Thanks,Danen
5.0
Reviewed Jun 30, 2022Excellent introduction to the mechanics of Neural Networks in general, and the Keras application specifically. Alec is an outstanding teacher, I always appreciate his knowledge and enthusiasm.
5.0
Reviewed Jun 9, 2023A great introduceintroductory course to deep learningIt teaches deep learning concepts using practical labs and keras which makes the concept very clear.which
5.0
Reviewed Jun 29, 2020Such a wonderful and high tech course in the world and it is provided by ibm and coursera.Thank you ibm and coursera for such a opportunity.I'm glad and proud to be a part of this organization.
4.0
Reviewed May 10, 2020Good course for absolute beginners. Would have liked an extra week or two to 'manually build' some of the key neural network concepts from scratch as in the first week.
5.0
Reviewed Feb 19, 2020Best suited for beginner in Deep learning with Keras. Good content, hands on experience with Jupiter notebook with IBM Developer tool. Worked Exercise code for CNN & RNN.
4.0
Reviewed Oct 9, 2019Good practical examples for ANN. It could be improved the theoretical part and compare better the architecture of the networks with the algorithms and code for Keras
5.0
Reviewed Mar 27, 2025Really well explained. For some lectures you might need to refer outside the course, but mostly well understandable for an intermediate level student.
5.0
Reviewed Mar 15, 2020Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.