Intro to TensorFlow for Deep Learning

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What Will You Learn?

Dive into deep learning with this practical course on TensorFlow and the Keras API. Gain an intuitive understanding of neural networks without the dense jargon. Learn to build, train, and optimize your own networks using TensorFlow. The course also introduces transfer learning, leveraging pre-trained models for enhanced performance. Designed for swift proficiency, this course prioritizes hands-on learning and real-world applications.

About This Course

Provider: Udacity
Format: Online
Duration: 17 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: Upon completion this free course, you will proficiently build, train, and optimize neural networks using TensorFlow and the Keras API, gaining a practical and intuitive understanding of deep learning.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Magnus Hyttsten, Juan Delgado, Paige Bailey
Key Topics: TensorFlow, Keras API, Deep Learning, Neural Networks
Topic Covered: 
  2. - Welcome to the Course
  3. - Introduction to Machine Learning
  4. - Your First Model - Fashion MNIST
  5. - Introduction to CNNs
  6. - Going Further With CNNs
  7. - Transfer Learning
  8. - Saving and Loading Models
  9. - Time Series Forecasting
  10. - NLP: Tokenization and Embeddings
  11. - NLP: Recurrent Neural Networks
  12. - Introduction to TensorFlow Lite

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Course Tags
TensorFlow Free Course TensorFlow for Deep Learning Course TensorFlow Course Top Free Course Machine Learning Course Introduction to Machine Learning TensorFlow Fundamentals