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
Two Days National Level workshop on MachineLearning with TensorFlow 2024

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 MCA

Certificates will be provided to Participants

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