https://data-flair.training/blogs/deep-learning-with-python-tutorial/

1. DEEP LEARNING WITH
PYTHON TUTORIAL
FOR BEGINNERS
DATAFLAIR

2. DATAFLAIR
DEEP LEARNING WITH PYTHON
Today, we will see Deep Learning with Python Tutorial. Deep Learning, a
Machine Learning method that has taken the world by awe with its
capabilities. In this Python Deep Learning Tutorial, we will discuss the
meaning of Deep Learning With Python. Also, we will learn why we call it Deep
Learning. Moreover, this Python Deep learning Tutorial will go through artificial
neural networks and Deep Neural Networks, along with deep learning
applications.

3. WHAT IS DEEP LEARNING WITH
PYTHON?
To define it in one sentence, we would say it is an approach to Machine Learning. To
elaborate, Deep Learning is a method of Machine Learning that is based on learning data
representations (or feature learning) instead of task-specific algorithms. We also call it
deep structured learning or hierarchical learning, but mostly, Deep Learning. For feature
learning, we observe three kinds of learning- supervised, semi-supervised, or unsupervised.
A. DEEP LEARNING DEFINITION

4. They use a cascade of layers of nonlinear processing units to extract features and
perform transformation; the output at one layer is the input to the next.
These learn in supervised and/or unsupervised ways (examples include
classification and pattern analysis respectively).
These learn multiple levels of representations for different levels of abstraction.
Some characteristics of Python Deep Learning are-
B. CHARACTERISTICS OF DEEP LEARNING WITH
PYTHON

5. Deep Learning uses networks where data transforms through a number of layers before
producing the output. This is something we measure by a parameter often dubbed CAP.
The Credit Assignment Path depth tells us a value one more than the number of hidden
layers- for a feedforward neural network. But we can safely say that with Deep Learning,
CAP>2. Each layer takes input and transforms it to make it only slightly more abstract
and composite.
DEEP LEARNING WITH PYTHON – WHY DEEP
LEARNING?

6. a. Structure
An Artificial Neural Network is a collection of artificial neurons that resemble biological
ones. Synapses (connections between these neurons) transmit signals to each other. A
postsynaptic neuron processes the signal it receives and further signals the neurons
connected to it.
A neuron can have a state (a value between 0 and 1) and a weight that can increase or
decrease the signal strength as the network learns. We see three kinds of layers- input,
hidden, and output. There may be any number of hidden layers. Typically, such networks
can hold millions of units and connections. Note that this is nothing compared to the
number of neurons and connections in a human brain.
DEEP LEARNING WITH PYTHON – (ANN)

7. Recurrent Neural Networks- Where data can flow in any direction. We use concepts
like LSTM (Long Short-Term Memory) from these in areas like language modeling.
Convolutional Deep Neural Networks- A deep, feedforward ANN. We use these in
areas like analyzing visual imagery, computer vision, and acoustic modeling for ASR
(Automatic Speech Recognition)
A Deep Neural Network is but an Artificial Neural Network with multiple layers between
the input and the output. At each layer, the network calculates how probable each
output is. A DNN will model complex non-linear relationships when it needs to. With extra
layers, we can carry out the composition of features from lower layers.
Two kinds of ANNs we generally observe are-
DEEP LEARNING WITH PYTHON – DEEP NEURAL
NETWORKS

8. Automatic speech recognition.
Image recognition.
Visual art processing.
Natural Language Processing (NLP).
Drug discovery and toxicology.
Customer Relationship Management (CRM).
Recommendation systems.
Bioinformatics.
Mobile advertising.
Image Restoration.
Financial fraud detection.
We observe the use of Deep Learning with Python in the following fields-
DEEP LEARNING WITH PYTHON – DEEP LEARNING
APPLICATIONS

9. Hence, in this Deep Learning Tutorial Python, we discussed what exactly deep learning
with Python means. Also, we saw artificial neural networks and deep neural networks in
Deep Learning With Python Tutorial. Moreover, we discussed deep learning applications
and got the reason why Deep Learning. See you again with another tutorial on Deep
Learning. Furthermore, if you have any queries regarding Deep Learning With Python, ask
in the comment tab.
CONCLUSION