Prerequisites:
No experience required
Free
Intro to TensorFlow for Deep Learning
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.
Built in collaboration with
Last Updated September 25, 2023
Last Updated September 25, 2023
Prerequisites:
No experience required
Course Lessons
Lesson 1
Welcome to the Course
Welcome to the course! Say hello to your instructors and get an overview of the program.
Lesson 2
Introduction to Machine Learning
Build your first neural neural network and learn some of the basic concepts behind machine learning.
Lesson 3
Your First Model - Fashion MNIST
Create and train a neural network that can recognize images of articles of clothing.
Lesson 4
Introduction to CNNs
Create and train a convolutional neural network that can recognize images of articles of clothing.
Lesson 5
Going Further With CNNs
Let's dive deeper into the further complexities of Convolutional Neural Networks!
Lesson 6
Transfer Learning
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
Saving and Loading Models
Learn how to save and load your trained models.
Lesson 8
Time Series Forecasting
Learn how to perform time series forecasting using deep learning and TensorFlow.
Lesson 9
NLP: Tokenization and Embeddings
Get introduced to Natural Language Processing with TensorFlow by learning how to tokenize words and create embeddings for use in neural networks.
Lesson 10
NLP: Recurrent Neural Networks
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
Introduction to TensorFlow Lite
Learn how to deploy your models on Android, iOS, and IoT devices using TensorFlow Lite.
Taught By The Best
Magnus Hyttsten
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.
Juan Delgado
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.
Paige Bailey
Developer Advocate, Google
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