Lesson 1
Welcome to the Course
Welcome to the course! Say hello to your instructors and get an overview of the program.
Course
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.
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.
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Last Updated September 25, 2023
Prerequisites:
No experience required
Lesson 1
Welcome to the course! Say hello to your instructors and get an overview of the program.
Lesson 2
Build your first neural neural network and learn some of the basic concepts behind machine learning.
Lesson 3
Create and train a neural network that can recognize images of articles of clothing.
Lesson 4
Create and train a convolutional neural network that can recognize images of articles of clothing.
Lesson 5
Let's dive deeper into the further complexities of Convolutional Neural Networks!
Lesson 6
Find out how transfer learning can greatly speed up your training process, allowing you to use existing networks as a basis for your own.
Lesson 7
Learn how to save and load your trained models.
Lesson 8
Learn how to perform time series forecasting using deep learning and TensorFlow.
Lesson 9
Get introduced to Natural Language Processing with TensorFlow by learning how to tokenize words and create embeddings for use in neural networks.
Lesson 10
Climb further with your NLP skills by building recurrent neural networks in TensorFlow, as well as learning how to generate new text for areas like song lyrics.
Lesson 11
Learn how to deploy your models on Android, iOS, and IoT devices using TensorFlow Lite.
Engineering Manager at Google
Magnus is the founder of DigitalRoute and has been working at Google in since 2013, as engineering manager and individual contributor for a variety of software products.
Content Developer
Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.
Developer Advocate, Google
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