Python – Data Processing

Students with high school mathematics knowledge who wish to learn Deep Learning File Size: 896.92MB

Python – Data Processing

What you will learn

    Understand the intuition behind Artificial Neural Networks
Create deep learning models
Convolution Neural Networks
Sequence Models

Course content
Expand all 36 Lectures02:29.53
–Introduction
09:34
Deep Learning Applications
Preview
05:12
What is Deep Learning?
Preview
01:36
Deep Learning: Why?
Preview
01:08
Why not now?
Preview
01:38
–Fundamentals
04:13
Hello World of Deep learning
Preview
01:14
Dataset and features
01:09
Classification
01:50
–Neural Networks
36:59

Download immediately Python – Data Processing
Perceptron
12:13
Sigmoid Function
06:39
Softmax Function
05:27
One Hot Coding
03:56
Activation functions
04:50
Logic Gates & XOR Problem
03:54
–Training Neural Networks
51:02
Cross Entropy
06:19
Loss Optimization
03:24
Gradient Descent
12:10
Non-linear models
03:20
Feed Forward
03:00
Backward Propagation
02:18
Overfitting problem
04:42
Early Stopping
05:57
Regularization
04:26
Don’t miss out
01:23
Vanishing Gradient Problem
04:03
–Convolution Neural Networks
32:32
You will need to extract features
05:18
Preprocessing
01:39
Convolution Operation
21:10
Pooling Layer
04:25
Flattening
Processing..
–Sequence Models
15:33
Recurrent Neural Networks
05:05
LSTMs
03:08
Architecture of LSTMs
01:20
Forget about Gate
02:41
Learn Gate
01:47
Remember Gate
00:38
Use Gate
00:54
Requirements

    Just some high school mathematics
Calculus and basic linear algebra

Description

Are you interested in Deep Learning and Machine Learning? This course is right for you!

This course is easy to understand and very simple.

You might have seen lots of  buzz on deep learning and you want to figure out where to start and explore.

This course was created for you!

We can achieve greater things if our foundations are solid.

This course focuses on building complicated things from the very basics.

These are the topics I will be covering in this course

Session 1 — Introductory material regarding Deep Learning, its application and significance.

Session 2 –  Introduces the fundamental building block of deep learning

Session 3: Logistic Regression and Activation Functions. Perceptron. One Hot Encoding. XOR Problem. Multi.-Models of Layer Perceptron

Session 4- Training of Neural networks: Cross Entropy and Loss Function. Gradient descent Algorithm. Non-Linear models, Feed forward, backward propagation. Overfitting problem. Early stop. Regularization. Dropout.

Session 5 – Convolution Neural Networks:  Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.

Session 6 – Sequence Models: Recurrent Neural networks, LSTMs

Is there any prerequisites or course requirements?

Only some high school mathematics levels.

This course is designed for the following:

Machine Learning and Deep Learning are for everyone

Students who are proficient in math and want to learn Deep Learning.

Download it immediately Python – Data Processing

    Any intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learning

All college students who wish to get a job. Data Science

Data analysts who are interested in Machine Learning or Deep Learning.

People who don’t feel satisfied at their jobs and want to change careers. Data Scientist

Anyone who is looking to increase the value of their business through powerful Learning tools

Deep Learning is a foundation that allows you to grasp the latest trends.

This course is for you:

Machine Learning and Deep Learning are for everyone
Students who have mathematical knowledge from high school and are ready to learn Deep Learning
Intermediate level people who are familiar with the basics of machine-learning and who wish to explore more advanced topics such as deep learning.
All college students who wish to get a job. Data Science
Data analysts who are interested in Machine Learning or Deep Learning.
People who don’t feel satisfied at their jobs and want to change careers. Data Scientist.
Anyone who is looking to increase the value of their business through powerful Learning tools.
Deep Learning is a foundation that allows you to grasp the latest trends.