Overview
Throughout this Introduction to Neural Networks with TensorFlow course from Udacity you'll create an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
What you will do during this course:
- you will receive a solid foundation on deep learning and neural networks. You'll also implement gradient descent and backpropagation in Python
- you will be introduced to different error function and you will be guided through implementing gradient descent using numpy matrix multiplication.
- you will learn how to use TensorFlow for building deep learning models
Skills you will learn:
- Training neural networks
- NumPy
- Backpropagation
- Overfitting prevention
- Deep learning fluency
- Gradient descent
- AI algorithms in Python
Programme Structure
Courses include:
- Implementing Gradient Descent
- Training Neural Networks
- Deep Learning with TensorFlow
- Image Classifier Project
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Information Technology (IT) View 185 other Short Courses in Information Technology (IT) in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Multivariable calculus
- Basic descriptive statistics
- Python for data science
- Basic probability
- Linear algebra
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.