Introduction to Neural Networks with TensorFlow
- Offered byUDACITY
Introduction to Neural Networks with TensorFlow at UDACITY Overview
Introduction to Neural Networks with TensorFlow
at UDACITY
Discover the power of neural networks with our online comprehensive TensorFlow course. Get an Introduction to Neural Networks and their applications
Duration | 3 weeks |
Total fee | ₹14,350 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Introduction to Neural Networks with TensorFlow at UDACITY Highlights
Introduction to Neural Networks with TensorFlow
at UDACITY
- Earn a certificate after completion of the course
- Personalized Career Services
- Real-world projects
- Practical tips and industry best practices
- Unlimited access to top-rated courses
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Introduction to Neural Networks with TensorFlow at UDACITY Course details
Introduction to Neural Networks with TensorFlow
at UDACITY
Skills you will learn
What are the course deliverables?
Training neural networks
NumPy
Backpropagation
Overfitting prevention
Deep learning fluency
TensorFlow
Gradient descent
AI algorithms in Python
Introduction to Neural Networks with TensorFlow at UDACITY Curriculum
Introduction to Neural Networks with TensorFlow
at UDACITY
Course Introduction
Introduction to Neural Networks
Implementing Gradient Descent
Training Neural Networks
Deep Learning with TensorFlow
Image Classifier Project
Introduction to Neural Networks with TensorFlow at UDACITY Faculty details
Introduction to Neural Networks with TensorFlow
at UDACITY
Luis Serrano
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Mat Leonard
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
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