Beginner
Python for Deep Learning
At a Glance
The Python for Deep Learning course is designed to provide participants with a comprehensive understanding of deep learning concepts and techniques using Python. Participants will learn how to build and train deep neural networks using popular deep learning frameworks such as TensorFlow and Keras.
Objectives
By the end of the course, participants will be equipped to:
- Understand the fundamentals of deep learning and its applications
- Learn how to implement deep neural networks using Python and TensorFlow
- Gain proficiency in building and training convolutional neural networks (CNNs)
- Master recurrent neural networks (RNNs)
- Explore advanced topics in deep learning, including transfer learning, generative adversarial networks (GANs), and reinforcement learning
- Apply deep learning techniques to real-world datasets and projects
Prerequisite
Basic knowledge of Python programming and familiarity with machine learning concepts is required. Prior experience with neural networks and deep learning is helpful but not required.
Curriculum
- 8 Sections
- 0 Lessons
- 0 Quizzes
- 20h Duration
Introduction to Deep Learning with Python
0 Lessons0 Quizzes
Building and Training Deep Neural Networks
0 Lessons0 Quizzes
Convolutional Neural Networks (CNNs)
0 Lessons0 Quizzes
Recurrent Neural Networks (RNNs)
0 Lessons0 Quizzes
Advanced Deep Learning Techniques
0 Lessons0 Quizzes
Reinforcement Learning with Python
0 Lessons0 Quizzes
Model Deployment and Productionizing
0 Lessons0 Quizzes
Implementation of Deep Learning Techniques in Industry-relevant Problems
0 Lessons0 Quizzes
Related Courses
