Python for Deep Learning — Build Neural Networks in Python

In this 2 hr course, you'll learn to build neural networks in Python, starting from foundational deep learning principles and moving to their application using TensorFlow and Keras. Along the way, this course demystifies artificial neural networks and convolutional neural networks, ensuring a practical understanding.

What I will be able to do after this course

• Understand the essential concepts of deep learning and neural networks.
• Learn to use Python frameworks like TensorFlow and Keras for neural network creation.
• Develop skills to implement ANNs and CNNs in Python with hands-on examples.
• Predict outcomes using linear, polynomial, and multivariate regression techniques.
• Gain practical experience solving real-world problems using deep learning.

Course Instructor(s)

Your instructor, a seasoned Python and machine learning expert, has years of experience crafting and teaching comprehensive courses on data science and deep learning. Their engaging teaching method ensures even complex topics are accessible and practical for learners of all levels.

Who is it for?

This course is ideal for beginner programmers eager to delve into deep learning, professionals looking to enhance their Python skills in AI, and mathematicians interested in applying their knowledge to real-world machine learning tasks. Prior knowledge of Python basics and mathematical concepts is recommended.