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Udacity

Intro to TensorFlow for Deep Learning

via Udacity

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Overview

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.

Syllabus

  • Welcome to the Course
    • Welcome to the course! Say hello to your instructors and get an overview of the program.
  • Introduction to Machine Learning
    • Build your first neural neural network and learn some of the basic concepts behind machine learning.
  • Your First Model - Fashion MNIST
    • Create and train a neural network that can recognize images of articles of clothing.
  • Introduction to CNNs
    • Create and train a convolutional neural network that can recognize images of articles of clothing.
  • Going Further With CNNs
    • Let's dive deeper into the further complexities of Convolutional Neural Networks!
  • 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.
  • Saving and Loading Models
    • Learn how to save and load your trained models.
  • Time Series Forecasting
    • Learn how to perform time series forecasting using deep learning and TensorFlow.
  • 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.
  • 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.
  • Introduction to TensorFlow Lite
    • Learn how to deploy your models on Android, iOS, and IoT devices using TensorFlow Lite.

Taught by

Magnus Hyttsten, Juan Delgado and Paige Bailey

Reviews

3.2 rating, based on 4 Class Central reviews

4.8 rating at Udacity based on 17 ratings

Start your review of Intro to TensorFlow for Deep Learning

  • Anonymous
    This course will be very useful for beginners who would like to know about each and every basic concepts in deep learning. The examples they teach are wonderful.
  • Anonymous
    My main problem with the course is the lack of exercises to reinforce understanding. For example, in the second part of the course, a learner is asked to write a machine learning algorithm to convert Celsius to Fahrenheit. The only exercise that has been given for this, is to run a pre-existing code from a Python notebook. This makes it really difficult for a person new to machine learning to gain a solid understanding of the material.
  • Anonymous
    This is bs, course is not even finished. This is just another sign of tensorflow hype - people even market stuff that is actually finished!
  • Thuy Do
    1
    Instructor are very clear and make the lecture very easy to understand!
    The lesson is perfect for beginner. I like this and want to recommend for others
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