• Disclaimer: MoocLab is community-supported. If you buy through our links, we may earn money from affiliate partners.

Courses NEW TensorFlow in Practice Specialization


Founder at MoocLab
Staff member
Group Manager
Deeplearning.ai have launched a new Specialization on Coursera: TensorFlow in Practice. In under a week, more than 2,000 people have enrolled and more than 100,000 people have recently viewed the Specialization.

TensorFlow in Practice Specialization.png
About this Specialization
Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.

In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!

AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July.
  • Taught by Laurence Moroney, AI Advocate, Google Brain
  • Intermediate Level
  • Approx. 1 month to complete
  • Suggested 9 hours/week
  • 7-day full access free trial
  • 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.
Go to Specialization Page ►
Similar threads

Similar threads