Neural Networks with Tensorflow [FREE]

Free Certification Course Title: Neural Networks with Tensorflow

In this hands-on, practical course, you will be working your way through Python, Tensorflow, and Jupyter notebooks.

Neural Networks with Tensorflow

What you’ll 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)

Requirements:

  • You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.

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

This course includes:

  • 5 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion