Introduction to Deep Learning & Neural Networks with Keras
- 4.7
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Course Summary
This course introduces the field of deep learning using Keras, a popular deep learning library written in Python. Students will learn the fundamentals of deep learning and how to build and train deep neural networks using Keras.Key Learning Points
- Learn the basics of deep learning and neural networks
- Build and train deep neural networks using Keras
- Understand how to use deep learning for image classification, natural language processing, and more
Job Positions & Salaries of people who have taken this course might have
- Deep Learning Engineer
- USA: $120,000 - $150,000
- India: ₹1,000,000 - ₹2,500,000
- Spain: €30,000 - €50,000
- Data Scientist
- USA: $90,000 - $130,000
- India: ₹600,000 - ₹1,500,000
- Spain: €24,000 - €40,000
- Machine Learning Engineer
- USA: $100,000 - $140,000
- India: ₹800,000 - ₹2,000,000
- Spain: €28,000 - €45,000
Related Topics for further study
Learning Outcomes
- Understand the fundamentals of deep learning and neural networks
- Be able to build and train deep neural networks using Keras
- Know how to apply deep learning to solve problems in image classification, natural language processing, and more
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Familiarity with linear algebra
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Applied Data Science with Python
- TensorFlow: Data and Deployment
Related Education Paths
Notable People in This Field
- Andrew Ng
- Yann LeCun
Related Books
Description
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.
Outline
- Introduction to Neural Networks and Deep Learning
- Welcome
- Introduction to Deep Learning
- Neurons and Neural Networks
- Artificial Neural Networks
- Syllabus
- Introduction to Neural Networks and Deep Learning
- Artificial Neural Networks
- Gradient Descent
- Backpropagation
- Vanishing Gradient
- Activation Functions
- Artificial Neural Networks
- Keras and Deep Learning Libraries
- Deep Learning Libraries
- Regression Models with Keras
- Classification Models with Keras
- Keras and Deep Learning Libraries
- Deep Learning Models
- Shallow Versus Deep Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Autoencoders
- Deep Learning Models
- Course Project
- Summary
Summary of User Reviews
The Introduction to Deep Learning with Keras course on Coursera has received positive reviews from many users. The course covers a range of topics related to deep learning and offers hands-on experience with Keras. One key aspect that many users thought was good is the quality of instruction provided by the course instructors.Pros from User Reviews
- Hands-on experience with Keras
- Quality of instruction provided by the course instructors
- Good introduction to deep learning
- Well-organized course material
- Challenging assignments that help reinforce learning
Cons from User Reviews
- Some users found the pace of the course to be too fast
- Lack of support for non-programmers
- Not enough explanation of some advanced topics
- Some users found the course material to be outdated
- Lack of interaction with other students
Alex Aklson
4.7 Raiting
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