The Deep Learning with Keras Workshop: Unlocking the Power of Neural Networks for Your Projects
Deep learning has emerged as a revolutionary force in the field of artificial intelligence, enabling machines to learn complex patterns and make predictions based on large datasets. Keras, an open-source deep learning library built on top of TensorFlow, has become a popular choice for developers and researchers due to its user-friendly interface and powerful capabilities.
This workshop is designed to provide a comprehensive to deep learning with Keras. Through a series of hands-on exercises and expert guidance, participants will gain a solid understanding of the fundamental concepts and techniques of deep learning, and learn how to apply them to their own projects.
By the end of this workshop, participants will be able to:
4.3 out of 5
Language | : | English |
File size | : | 18072 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 573 pages |
Hardcover | : | 131 pages |
Item Weight | : | 13.9 ounces |
Dimensions | : | 8.25 x 0.49 x 11 inches |
- Understand the principles and applications of deep learning
- Choose the appropriate deep learning models for different tasks
- Build and train deep learning models using Keras
- Evaluate and interpret the results of deep learning models
- Use deep learning to solve real-world problems
The workshop will cover the following topics:
- ** to Deep Learning**
- What is deep learning?
- Why is deep learning important?
- Applications of deep learning
- ** to Keras**
- Overview of Keras
- Setting up Keras
- Building your first neural network with Keras
- Deep Learning Models
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transformers
- Training and Evaluating Deep Learning Models
- Data preparation for deep learning
- Training deep learning models
- Evaluating deep learning models
- Case Studies
- Real-world examples of deep learning applications
- How to build and deploy deep learning models
This workshop is suitable for:
- Developers who are new to deep learning and want to learn the basics
- Data scientists who want to add deep learning to their skillset
- Researchers who want to explore the latest advances in deep learning
- Anyone who is interested in learning about the transformative power of deep learning
- Basic knowledge of Python programming
- Basic understanding of linear algebra and calculus
- A laptop with the following software installed:
- Python 3.6 or later
- TensorFlow 2.0 or later
- Keras 2.0 or later
The workshop will be held over two days, with each day consisting of a mix of lectures, hands-on exercises, and Q&A sessions.
Day 1
- Morning: to deep learning and Keras
- Afternoon: Building and training your first neural network
Day 2
- Morning: Deep learning models and applications
- Afternoon: Training and evaluating deep learning models
The workshop will be led by experienced deep learning practitioners who have extensive experience in both industry and academia.
[Instructor 1 Name] is a deep learning engineer at [Company Name]. He has worked on a variety of deep learning projects, including image classification, natural language processing, and speech recognition.
[Instructor 2 Name] is a professor of computer science at [University Name]. His research interests include deep learning, machine learning, and artificial intelligence.
Participants will receive the following materials:
- Workshop slides
- Hands-on exercise materials
- Code examples
- Certificate of completion
To register for the workshop, please visit the following link: [Registration Link]
The Deep Learning with Keras Workshop is an excellent opportunity to learn the basics of deep learning and how to apply it to your own projects. Through hands-on exercises and expert guidance, participants will gain the knowledge and skills they need to succeed in the field of deep learning.
4.3 out of 5
Language | : | English |
File size | : | 18072 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 573 pages |
Hardcover | : | 131 pages |
Item Weight | : | 13.9 ounces |
Dimensions | : | 8.25 x 0.49 x 11 inches |
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4.3 out of 5
Language | : | English |
File size | : | 18072 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 573 pages |
Hardcover | : | 131 pages |
Item Weight | : | 13.9 ounces |
Dimensions | : | 8.25 x 0.49 x 11 inches |