What will you learn in this Introduction to Deep Learning & Neural Networks with Keras Course
Understand the fundamentals of neural networks and deep learning models.
Differentiate between supervised and unsupervised deep learning models.
Implement deep learning models using the Keras library.
Gain insights into applications of deep learning in various domains.
Program Overview
1. Introduction to Deep Learning and Neural Networks
⏳ 1 hour
Explore the basics of deep learning, neural networks, and their real-world applications.
2. Supervised Deep Learning Models
⏳ 2 hours
Delve into supervised learning models, including convolutional and recurrent neural networks.
3. Unsupervised Deep Learning Models
⏳ 2 hours
Understand unsupervised models like autoencoders and restricted Boltzmann machines.
4. Building Deep Learning Models with Keras
⏳ 2 hours
Learn to construct and train deep learning models using the Keras library.
5. Applications of Deep Learning
⏳ 2 hours
Discover how deep learning is applied in fields such as computer vision and natural language processing.
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Job Outlook
Prepares learners for roles such as Deep Learning Engineer, AI Specialist, and Data Scientist.
Applicable in industries like healthcare, finance, and technology.
Enhances employability by providing practical skills in deep learning model development.
Supports career advancement in fields requiring expertise in neural networks and AI.
Specification: Introduction to Deep Learning & Neural Networks with Keras
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