Beyond MNIST Example: Practical Convolutional NNs

Rating 4.0 out of 5 (9 ratings in Udemy)
What you'll learn
- Enrolled students can easily code all the subprocesses of convolutional neural network.
- Enrolled students can distinguish the problem of not-working Convolutional Neural Networks.
- Enrolled students can apply several solutions for the loading images on Python.
- Enrolled students can understand and apply transfer learning.
- Enrolled students can diagnose imbalanced dataset problem.
- Enrolled students can solve imbalanced dataset …
Duration 6 Hours 58 Minutes
Paid
Self paced
Beginner Level
English (US)
80
Rating 4.0 out of 5 (9 ratings in Udemy)
Go to the Course
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Paid
Self paced
Beginner Level
English (US)
80
Rating 4.0 out of 5 (9 ratings in Udemy)
Go to the Course