TensorFlow Developer Professional Certificate

TensorFlow Developer Professional Certificate

What you will learn

  • Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
  • Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
  • Build natural language processing systems using TensorFlow.
  • Apply RNNs, GRUs, and LSTMs as you train them using text repositories.

Skills you will gain

  • Computer Vision
  • Convolutional Neural Network
  • Machine Learning
  • Natural Language Processing
  • Tensorflow
  • Inductive Transfer
  • Augmentation
  • Dropouts
  • Tokenization
  • RNNs
  • Forecasting
  • Time Series

TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.

In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.

  • 4 Courses
  • >2 - 4 weeks
  • Intermediate



Laurence Moroney

Laurence Moroney

Chief AI Scientist at VisionWorks Studios

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