Neural Networks with Tensorflow

Neural Networks with Tensorflow

What you will learn:

  • Basics of Tensorflow
  • Artificial Neurons
  • Feed Forward Neural Networks
  • Activations and Softmax Output
  • Gradient Descent
  • Backpropagation
  • Loss Function
  • MSE
  • Model Optimization
  • Cross-Entropy
  • Linear Regression
  • Logistic Regression
  • Convolutional Neural Networks (with examples)
  • Text and Sequence Data
  • Recurrent Neural Networks (with examples)
  • Neural Style Transfer (in progress)

Who this course is for:

  • You want to get into machine learning and artificial neural networks
  • You already work in ML/AI and need to learn Tensorflow
  • You are a student, know some coding, and want to get into machine learning

How to Enroll Neural Networks with Tensorflow course?

  • To Access "Neural Networks with Tensorflow" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

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