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Overview
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural networks architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will you...
Syllabus
- Introduction to Deep Learning
- Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.
- Neural Networks Basics
- Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
- Shallow Neural Networks
- Build a neural network with one hidden layer, using forward propagation and backpropagation.
- Deep Neural Networks
- Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.
DeepLearning.AI via Coursera
35 minutes
Paid Certificate Available
English
On-Demand
Intermediate
Instructor
Andrew Ng
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