Deep Learning A-Z: Hands-On Artificial Neural Networks
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Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Overview
Duration | 22 hours |
Total fee | ₹360 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Get a 30 days money back guarantee on the course
- Get full lifetime access of the course material
- Learn from 37 articles and 5 downloadable resources
Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Course details
- Understand the intuition behind Artificial Neural Networks
- Apply Artificial Neural Networks in practice
- Understand the intuition behind Convolutional Neural Networks
- Apply Convolutional Neural Networks in practice
- The first and most important thing focused on is giving the course a robust structure
- Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it
- That's why the course is grouped the tutorials into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning
- With each volume focusing on three distinct algorithms, we found that this is the best structure for mastering Deep Learning
Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Curriculum
Welcome to the course
Updates on Udemy Reviews
What is Deep Learning?
BONUS: Learning Paths
Installing Python
How to get the dataset
Colab File
BONUS: Meet Your Instructors
Some Additional Resources!!
FAQBot!
Part 1 - Artificial Neural Networks
Welcome to Part 1 - Artificial Neural Networks
ANN Intuition
Plan of Attack
The Neuron
The Activation Function
How do Neural Networks work?
How do Neural Networks learn?
Gradient Descent
Stochastic Gradient Descent
Backpropagation
Building an ANN
Prerequisites
How to get the dataset
Business Problem Description
Installing Keras
Building an ANN - Step 1
Building an ANN - Step 2
Building an ANN - Step 3
Building an ANN - Step 4
Building an ANN - Step 5
Building an ANN - Step 6
Building an ANN - Step 7
Building an ANN - Step 8
Building an ANN - Step 9
Building an ANN - Step 10
Homework Challenge - Should we say goodbye to that customer ?
Homework Instruction
Homework Solution
Evaluating, Improving and Tuning the ANN
Evaluating the ANN
Improving the ANN
Tuning the ANN
Homework Challenge - Put me one step down on the podium
Homework Instruction
-------------------- Part 2 - Convolutional Neural Networks --------------------
Welcome to Part 2 - Convolutional Neural Networks
CNN Intuition
What You'll Need for CNN
Plan of attack
What are convolutional neural networks?
Step 1 - Convolution Operation
Step 1(b) - ReLU Layer
Step 2 - Pooling
Step 3 - Flattening
Step 4 - Full Connection
Summary
Softmax & Cross-Entropy
Building a CNN
How to get the dataset
Installing Keras
Introduction to CNNs
Building a CNN - Step 1
Building a CNN - Step 2
Building a CNN - Step 3
Building a CNN - Step 4
Building a CNN - Step 5
Building a CNN - Step 6
Building a CNN - Step 7
Building a CNN - Step 8
Building a CNN - Step 9
Building a CNN - Step 10
Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Faculty details
Deep Learning A-Z: Hands-On Artificial Neural Networks at UDEMY Entry Requirements
- Prerequisites : High school mathematics level and basic Python programming knowledge
- Not mentioned
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