Convolutional Neural Networks with TensorFlow in Python

Convolutional Neural Networks with TensorFlow in Python Course includes 4.5 hrs video content and enrolled by 1K+ students and received a 4.8 average review out of 5. Now, you will get 89%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.

What you’ll learn

  • Learn the fundamentals of Convolutional Neural Networks
  • Perform Computer Vision and Machine Learning tasks
  • Master working with TensorFlow and Tensorboard
  • Understand kernels
  • Get the hang of convolution and its role in CNNs
  • Get familiar with L2 regularization and weight decay
  • Grasp the concept of dropout
  • Visualize networks and metrics using Tensorboard
  • Approach multilabel classification
  • Gain experience from a big real-world practical example
  • Convert Images into Tensors
  • Explore the concepts behind popular state-of-the-art CNN architectures

Who this course is for:

  • Anyone seeking to advance their skills in Machine Learning and Computer Vision
  • This course is for you if you want to learn how Convolutional Neural Networks work
  • Anyone who wants to make a career in Deep Learning
  • Individuals who are curious and passionate about AI

Can I download Convolutional Neural Networks with TensorFlow in Python course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Convolutional Neural Networks with TensorFlow in Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
Are there any other coupons available for this course?
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