Alternate Name for Neural Networks

Interchangeability of Deep Learning and Neural Networks

Filling in the Alternate Name: _____

Matching the Terminology from the Text

Logic of Reading the Terminology

Question:
Based solely on the source text 'I will frequently refer to neural networks (also known as “deep learning”)', explain the relationship between these two terms in the context of the book.

Sample answer:
In the context of the book, the terms 'neural networks' and 'deep learning' are used interchangeably. The author explicitly states that neural networks are 'also known as' deep learning, establishing that whenever either term is used, it refers to the exact same concept.

Key points:
- Neural networks is the primary term used.
- Deep learning is provided as an alternate name.
- The two terms are treated as completely synonymous in the text.

Rubric:
The response must identify that the two terms are synonymous and explicitly reference the 'also known as' connection provided in the text.

Significance of the Terminology Equivalence

Case context:
A student is reading page 8 of Machine Learning Yearning. They come across a section that heavily discusses 'deep learning', a term they are not familiar with, but they have extensively studied 'neural networks'.

Question:
Based on the provided source evidence, what should the student conclude about the new term?

Sample answer:
The student should conclude that 'deep learning' is just another name for the 'neural networks' they have already studied, as the text explicitly states that neural networks are also known as deep learning.

Key points:
- The text states neural networks are also known as deep learning.
- The student can apply their knowledge of neural networks.
- There is no difference between the two terms in this context.

Rubric:
The answer must accurately apply the rule that deep learning is synonymous with neural networks based on the text.

Interpreting Course Terminology

Question:
What alternate term does the author introduce for 'neural networks'?

Sample answer:
The alternate term for neural networks is 'deep learning'.

Key points:
- Deep learning is the alternate term.

Rubric:
Must state 'deep learning' as the answer.

Identify the Alternate Term

Relationship Between Deep Learning and Neural Networks

Distinction Between Terms

Machine Learning Yearning refers to neural networks as also known as deep learning.

Google

Breaking this down into to components: - What are Neurons? - How are they connected? - At first, we can think view a neural network as how our brains work like neurons signaling one another (Also the inspiration for its name). In a sense these models allow computer programs to recognize patterns and solve common problems. - Neural Networks are comprised of node layers. It contains the input layer, one (or more) hidden layers, and an output layer. - Nodes (neurons) are connected via arrows and each has an associated weight and threshold. If the node surpasses the threshold set, then that neuron is activated and the data is sent on the next layer. This process repeats until it goes to the output layer.

Neural Network

Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.
https://www.deeplearning.ai/machine-learning-yearning/

Note: The content of the book is aligned with the Coursera Deeplearning.ai specialization.  https://www.deeplearning.ai/deep-learning-specialization/ 

Machine Learning Yearning (Deeplearning.ai)


While there are many types of neural networks the most common networks that will be typically seen are: 

- Feedforward neural networks
- Convolutional neural networks
- Recurrent neural networks

Types of Neural Networks

Python Neural Network Class

When working with Neural networks, it involves quite a bit a math to determine the weights and bias. This is so the computer can accurately determine the output. But in order to really figure that out. Fine tuning of the weights and bias from the input data is known as "training" the neural network.

Training Neural Networks

Neural Networks Also Known as Deep Learning

In this context, a small neural network means a neural network with only a small number of hidden units, layers, or parameters.

Small Neural Network Scale

Neural network architecture is one of the important details for performance, and there has been much innovation in neural network architecture.

Learn Before

Related

Learn After