Dockerfile.tar.gz

keras python

keras python - using models

This beginner level and highly comprehensive course is intended for learners who are familiar with Python programming. You will become familiar with the fundamental concepts and terminologies used in deep learning. In addition, this course will help you understand the importance of deep learning techniques. You will examine simple models like perceptron before learning more complex yet powerful deep learning models. The course will provide hands-on practical knowledge of how to code simple and complex deep learning models in NumPy, a powerful Python library and Keras, a cutting-edge library for deep learning in Python. You can test your knowledge with the quizzes that are provided at the end of every lesson and coding challenges that will help you gain a higher understanding. By the end of the course, you should have a general understanding of the basics in deep learning and you will be equipped with the right tools to learn more advanced concepts.

A Beginner's Guide to Deep Learning



## Why should you learn deep learning?
Deep learning is cutting edge technology in speech recognition, visual understanding, search ranking, medical and health care, robotics, self-driving cars, and more.



**Uniquely low barrier to entry**

This course teaches deep learning without
assuming advanced knowledge of mathematics.
It will help you understand and advance your knowledge of vector algebra behind deep learning and the code to obtain hands-on practice. Apart from these aspects of learning, various quizzes and extensive coding challenges are provided to help test your knowledge.

**Understand concepts using framework**

We will start with simple maths. Then, we will code in vanilla Python and then learn to build amazing applications using NumPy and Keras library.

## What do you need to get started?

To take this course, you need to have coding experience in Python. If you are not comfortable with coding in Python, check out our course: [Learn Python from Scratch](https://www.educative.io/courses/learn-python-3-from-scratch) to revise the basics.










# Why should you learn deep learning?
Deep learning is cutting edge technology in speech recognition, visual understanding, search ranking, medical and health care, robotics, self-driving cars, and more.



# What do you need to get started?

To take this course, you need to have coding experience in Python. If you are not comfortable with coding in Python, check out our course: [Learn Python from Scratch](https://www.educative.io/courses/learn-python-3-from-scratch) to revise the basics.








Get to know why this course and its contents are important to study.

✨Before We Begin

✨Introduction to Deep Learning

✨Simple Perceptron Models in NumPY

✨Towards Deep Neural Networks in NumPY

🖥️ Project: Build a Letter Classification Model

Deep Learning in NumPy Exam

✨Building Deep Learning Models with Keras

✨Fine-tune Keras Model

🖥️ Project: Build a Digit Recognition Model

✨Conclusion

Deep Learning in Keras Exam

About this Course

Why should you learn deep learning?

Why should you take this course?

What do you need to get started?