DS & ML Deep learning
StackRoute’s Deep Learning with TensorFlow and Keras program is designed to build deep technical capabilities in your workforce through hands-on, real-world application of AI technologies. This intensive course covers the fundamentals and advanced techniques of deep learning, including neural networks, model training, hyperparameter tuning, optimization, and model deployment everaging TensorFlow and Keras for maximum industry relevance. The learning path moves from core foundations to production-minded practice: disciplined data preparation, building and training neural networks, regularization and optimization, and structured experimentation. Participants apply model evaluation, error analysis, and performance profiling to guide Read more
Why Experienced engineers programs?The NIIT StackRoute advantage
NIIT StackRoute delivers immersive, outcome-driven tech training that transforms talent into project-ready professionals from day one. With real-world learning led by industry experts, it reduces time-to-productivity, cuts costs, and ensures a 95% success rate making it the go-to partner for enterprise talent transformation.
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Program highlights
Tools covered
Outcomes
- Employees will gain the ability to take trained models into deployment environments with confidence—enabling seamless integration into existing systems or products.
- Learners will be capable of creating AI applications that enhance decision-making, automate operations, and support strategic innovation.
- Participants will be able to independently design and develop deep learning models using TensorFlow and Keras for tasks such as classification, prediction, and image recognition.
Resources
Frequently Asked Questions
StackRoute offers ongoing support, mentorship, and consulting services to help integrate learned skills into your company's projects. Assistance includes project guidance, code reviews, and best practices.
Deep Learning with TensorFlow and Keras skills enable companies to innovate, optimize processes, and leverage AI technologies for competitive advantage. Employees gain expertise in cutting-edge tools for advanced analytics and AI-driven solutions.
Certainly! StackRoute can customize the course content, projects, and delivery format to align with business requirements. Please talk to our Program Coordinator to curate things better.
You'll engage in interactive lectures, hands-on labs, case studies, and collaborative projects. The curriculum is designed for practical implementation and skill development.
To enroll in the Deep Learning with TensorFlow and Keras course, learners are expected to have a basic understanding of Python programming, familiarity with machine learning concepts, and knowledge of linear algebra and calculus are recommended.
The key features and benefits of stackroute's deep learning with tensorflow and keras course include a comprehensive curriculum that covers neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNS), and advanced topics like transfer learning. Plus, real-world projects in computer vision, natural language processing (NLP), and other deep learning applications.
You'll engage in interactive lectures, hands-on labs, case studies, and collaborative projects. The curriculum is designed for practical implementation and skill development.
Certainly! StackRoute can customize the course content, projects, and delivery format to align with business requirements. Please talk to our Program Coordinator to curate things better.
Deep Learning with TensorFlow and Keras skills enable companies to innovate, optimize processes, and leverage AI technologies for competitive advantage. Employees gain expertise in cutting-edge tools for advanced analytics and AI-driven solutions.
StackRoute offers ongoing support, mentorship, and consulting services to help integrate learned skills into your company's projects. Assistance includes project guidance, code reviews, and best practices.
StackRoute provides regular progress reports, assessments, and certifications to track employee performance and skill development throughout the training program.
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