50 Hrs
3292+ Enrollments
Keras Training
The Keras Training course is designed for beginners as well as professionals who want to enhance their knowledge in deep learning using Keras. This course covers all the essential concepts and techniques of deep learning with Keras, including building and training neural networks, working with image data, using convolutional and recurrent neural networks, and deploying models to production.
50 Hrs
3292+ Enrollments
Keras Training
Keras Training
Overview of Course
Keras Training is a comprehensive course designed to help you master deep learning using Keras, a high-level neural networks API written in Python. With this course, you will learn how to build, train, and deploy deep learning models with Keras, and gain the skills needed to tackle real-world machine learning problems.
Course Highlights
Learn the fundamentals of deep learning using Keras
Understand how to build, train, and deploy neural networks
Use Keras to solve real-world machine learning problems
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
#1
Deep learning concepts and techniques
#2
Building and training neural networks
#3
Working with image data
#4
Convolutional and recurrent neural networks
#5
Deploying models to production
#6
Solving real-world machine learning problems
Training Options
1-on-1 Training
On Request
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
On Request
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
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Course Reviews
Curriculum
- Introduction to Keras and its history
- The importance of Keras in deep learning
- The benefits of using Keras over other deep learning frameworks
- Key features of Keras
- Installing Keras on different platforms
- Configuring Keras for different backends (TensorFlow, Theano, etc.)
- Keras API and its functionalities
- Keras layers and models
- Introduction to Convolutional Neural Networks (ConvNets)
- Basic architecture of ConvNets
- Training and evaluation of ConvNets
- Common applications of ConvNets
- Introduction to Generative Adversarial Networks (GANs)
- Understanding the GAN framework and architecture
- Training and evaluation of GANs
- Introduction to Wavenet and its applications
- Introduction to word embeddings
- Different techniques for word embeddings (Word2Vec, GloVe, etc.)
- Using pre-trained word embeddings in Keras
- Evaluating word embeddings
- Introduction to Recurrent Neural Networks (RNNs)
- Basic architecture of RNNs
- Training and evaluation of RNNs
- Common applications of RNNs
- Introduction to additional deep learning models (e.g., Autoencoders, Boltzmann Machines, etc.)
- Understanding the architecture and functionality of these models
- Training and evaluation of these models
- Common applications of these models.
Contact Learning Advisor
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Beginner to intermediate level learners in deep learning and Keras
- Machine learning professionals looking to upskill in Keras
- Developers interested in building and deploying deep learning models using Keras
Prerequisite:
- Basic knowledge of Python programming
- Understanding of machine learning concepts
Benefits of the course:
- Hands-on experience with Keras and deep learning techniques
- Practical projects to work on
- Flexibility to learn at your own pace
- Certificate of completion
- Access to online community for networking and support
Exam details to pass the course:
- There is no exam to pass the course.
- You will receive a certificate of completion upon finishing the course.
Certification path:
- To learn this course, you don't need any prior certification.
- However, upon completing the course, you will receive a certificate of completion from Skillzcafe.
Career option:
- Machine Learning Engineer
- Data Scientist
- Deep Learning Engineer
- AI Researcher
- Computer Vision Engineer
Career option:
Career option:
Machine Learning Engineer- Data Scientist
- Deep Learning Engineer
- AI Researcher
- Computer Vision Engineer
FAQs
No, this course is designed for both beginners and intermediate level learners.
You will need a computer with a working internet connection and access to Python and Keras libraries. The course provides instructions on how to install the required software.
Yes, you will have lifetime access to the course content, including any updates or revisions made in the future.
Yes, upon completing the course, you will receive a certificate of completion from Skillzcafe.
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