Deep learning is a complex subset of machine learning that uses neural networks to process data similarly to the human brain. Machine learning facilitates automated learning from data without explicit programming, while artificial intelligence encompasses these technologies to create intelligent systems. The document highlights the hierarchical relationship between AI, machine learning, and deep learning, emphasizing their applications and significance in various fields.

1. Deep learning is a subset of machine learning.
Machine learning is the science of getting
computers to act without being explicitly
programmed. Deep learning is a type of
machine learning that uses neural networks to
learn from data.
info@writeme.ai www.writeme.ai
DIFFERENCE BETWEEN
MACHINE LEARNING VS
DEEP LEARNING

2. Understanding the Hierarchy of Intelligent Systems
In order to understand the difference between machine learning and deep
learning, we first need to understand the common links and the overall
hierarchical structure of this niche.
Artificial Intelligence (AI):
AI is a broad field of study focused on creating intelligent systems that can
perform tasks that typically require human intelligence.
Machine Learning (ML):
Machine learning is a subfield of AI that focuses on developing
algorithms and models that enable machines to learn from data and
make predictions or decisions without being explicitly programmed.
info@writeme.ai www.writeme.ai

3. What are Neural Networks?
Neural networks are inspired by the structure of the brain and
nervous system, and they’re designed to process information
in a way that’s similar to how our brains do it. The basic idea
behind neural networks is that you have a large number of
simple processing units (neurons) that are connected together
in complex ways. Each neuron has an output value, which is
determined by applying some function to its input values. The
output value can then be used as input for other neurons,
allowing the network as a whole to process information in a
way that’s similar to how our brains do it.
info@writeme.ai www.writeme.ai

4. What is Machine Learning?
Generally, when a computer learns from data, it is
called machine learning. Machine learning stands
at the intersection of statistical algorithms and
computer science fundamentals. The algorithms
are designed to complete certain tasks without
hardcore programming. Thus, machine learning
programs can detect data patterns and make
predictions as to what the new data will look like.
info@writeme.ai www.writeme.ai

5. What is Deep Learning?
As discussed above, Deep Learning is one of the
machine learning types. Deep Ai Learning is a
subset of machine learning. It means that deep
learning algorithms are more complex and
sophisticated as compared to machine learning.
Deep learning has shown great results in different
applications, which is why this technology is
gaining a lot of popularity recently.
info@writeme.ai www.writeme.ai

6. Conclusion
In summary, AI encompasses creating intelligent systems,
while machine learning enables machines to learn from
data. Neural networks simulate the brain’s behavior, and
deep learning uses multi-layered neural networks for
complex learning. These concepts rely on data, automate
tasks, and have practical applications in various fields.
They represent the forefront of advanced AI learning.
Read full blog…https://writeme.ai/blog/machine-learning-vs-
deep-learning-difference/#artificial-intelligence-vs-machine-
learning-vs-neural-networks-vs-deep-learning
info@writeme.ai www.writeme.ai

7. Lets understand the use or Prompts
We will use WriteMe.ai with ChatMe
Download icons from:
https://www.flaticon.com/authors/super-basic-straight/outline?author_id=1&type=standard
info@writeme.ai www.writeme.ai
Article Writer Copywriter ChatMe