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- Two Days National Level workshop on MachineLearning with TensorFlow 2024
Two Days National Level workshop on MachineLearning with TensorFlow 2024, Dr Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, 29th February - 1st March 2024
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- Event Type:
- Online
- Start Date :
- 29th February 2024
- End Date :
- 1st March 2024
- Location :
- Pollachi, Tamil Nadu
- Organizer :
- Dr Mahalingam College of Engineering and Technology
- Category :
- Workshop

About Event
Workshops on TensorFlow typically cover a range of topics related to deep learning and artificial intelligence,
Introduction to TensorFlow 2.0: Understanding the basics of TensorFlow, its architecture, and how it differs from earlier versions.
Deep Learning Concepts: Exploring fundamental concepts in deep learning, such as neural networks, activation functions, loss functions, and optimization techniques.
TensorFlow 2.0 Features: Hands-on sessions on new features and improvements introduced in TensorFlow 2.0, such as eager execution, Keras integration, and the compatibility module.
Building Neural Networks: Practical exercises on creating and training neural networks for various tasks, such as image classification, natural language processing, and regression.
It's important to note that the content of a workshop can vary based on the organizers, the target audience, and the specific goals of the workshop. If you're interested in a particular workshop,
Events
Student Participants: Rs.600/-
Faculty members, Research scholars,
Industry Person: Rs.750/-
[Registration fees inclusive of 18% GST]
Workshops
Workshops on TensorFlow typically cover a range of topics related to deep learning and artificial intelligence,
Introduction to TensorFlow 2.0: Understanding the basics of TensorFlow, its architecture, and how it differs from earlier versions.
Deep Learning Concepts: Exploring fundamental concepts in deep learning, such as neural networks, activation functions, loss functions, and optimization techniques.
TensorFlow 2.0 Features: Hands-on sessions on new features and improvements introduced in TensorFlow 2.0, such as eager execution, Keras integration, and the compatibility module.
Building Neural Networks: Practical exercises on creating and training neural networks for various tasks, such as image classification, natural language processing, and regression.
It's important to note that the content of a workshop can vary based on the organizers, the target audience, and the specific goals of the workshop. If you're interested in a particular workshop,
Departments:
CSE ECE IT MCACertificates will be provided to Participants
Related Links:
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