Practical Deep Learning with Keras and Python
This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out ho...
- All levels
- English
Course Description
This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems. In this course, we will start from the very scratch. This is a very applied course, so we will immediately start coding even without installation! You will s...
This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems. In this course, we will start from the very scratch. This is a very applied course, so we will immediately start coding even without installation! You will see a brief bit of absolutely essential theory and then we will get into the environment setup and explain almost all concepts through code. You will be using Keras - one of the easiest and most powerful machine learning tools out there. All with only a few lines of code. All the examples used in the course comes with starter code which will get you started and remove the grunt effort. The course also includes finished codes for the examples run in the videos so that you can see the end product should you ever get stuck. There is also a real-time chat system in place for students who enroll in this course. With a free signup, you get access to real-time chat with myself and fellow students who are working to complete this course (or have completed the course before you). We plan on creating this network of like-minded machine learning experts who can help each other out and collaborate on exciting ideas together.
What you’ll learn
- Convolutional Neural Networks
- Residual Connections
- Inception Module
Covering Topics
Section 1 : Introduction
Section 2 : A Bit of Theory
Section 3 : Installation and Setup
Section 4 : Say Hi to Keras
Section 5 : Real World Case Study: Predicting Protein Functions
Section 6 : Convolutional Neural Networks (CNN)
Section 7 : Graph-based Models
Section 8 : Finishing Touches
Curriculum
Frequently Asked Questions
This course includes
- Lectures 26
- Duration 3 Hour
- Language English
- Certificate No