Deep Learning A-Z™: Hands-On Artificial Neural Networks
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.
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
Understand the intuition behind Recurrent Neural Networks
Apply Recurrent Neural Networks in practice
Understand the intuition behind Self-Organizing Maps
Apply Self-Organizing Maps in practice
Understand the intuition behind Boltzmann Machines
Apply Boltzmann Machines in practice
Understand the intuition behind AutoEncoders
Apply AutoEncoders in practice
Welcome to the course
1
Updates on Udemy Reviews
2
What is Deep Learning?
3
Installing Python
4
How to get the dataset
5
Some Additional Resources!!
--------------------- Part 1 - Artificial Neural Networks ---------------------
1
Welcome to Part 1 - Artificial Neural Networks
ANN Intuition
1
Plan of Attack
2
The Neuron
3
The Activation Function
4
How do Neural Networks work?
5
How do Neural Networks learn?
6
Gradient Descent
7
Stochastic Gradient Descent
8
Backpropagation
Building an ANN
1
Prerequisites
2
How to get the dataset
3
Business Problem Description
4
Installing TensorFlow and Keras
5
Building an ANN - Step 1
6
Building an ANN - Step 2
7
Building an ANN - Step 3
8
Building an ANN - Step 4
9
Building an ANN - Step 5
10
Building an ANN - Step 6
11
Building an ANN - Step 7
12
Building an ANN - Step 8
13
Building an ANN - Step 9
14
Building an ANN - Step 10
Homework Challenge - Should we say goodbye to that customer ?
1
Homework Instruction
2
Homework Solution
Evaluating, Improving and Tuning the ANN
1
Evaluating the ANN
2
Improving the ANN
3
Tuning the ANN
Homework Challenge - Put me one step down on the podium
1
Homework Instruction
-------------------- Part 2 - Convolutional Neural Networks --------------------
1
Welcome to Part 2 - Convolutional Neural Networks
CNN Intuition
1
What You'll Need for CNN
2
Plan of attack
3
What are convolutional neural networks?
4
Step 1 - Convolution Operation
5
Step 1(b) - ReLU Layer
6
Step 2 - Pooling
7
Step 3 - Flattening
8
Step 4 - Full Connection
9
Summary
10
Softmax & Cross-Entropy
Building a CNN
1
How to get the dataset
2
Installing TensorFlow and Keras
3
Introduction to CNNs
4
Building a CNN - Step 1
5
Building a CNN - Step 2
6
Building a CNN - Step 3
7
Building a CNN - Step 4
8
Building a CNN - Step 5
9
Building a CNN - Step 6
10
Building a CNN - Step 7
11
Building a CNN - Step 8
12
Building a CNN - Step 9
13
Building a CNN - Step 10
Homework - What's that pet ?
1
Homework Instruction
2
Homework Solution
Evaluating, Improving and Tuning the CNN
1
Homework Challenge - Get the gold medal
2
Homework Challenge Solution - Get the gold medal
---------------------- Part 3 - Recurrent Neural Networks ----------------------
1
Welcome to Part 3 - Recurrent Neural Networks
RNN Intuition
1
What You'll Need for RNN
2
Plan of attack
3
The idea behind Recurrent Neural Networks
4
The Vanishing Gradient Problem
5
LSTMs
6
Practical intuition
7
EXTRA: LSTM Variations
Building a RNN
1
How to get the dataset
2
Installing TensorFlow and Keras
3
Building a RNN - Step 1
4
Building a RNN - Step 2
5
Building a RNN - Step 3
6
Building a RNN - Step 4
7
Building a RNN - Step 5
8
Building a RNN - Step 6
9
Building a RNN - Step 7
10
Building a RNN - Step 8
11
Building a RNN - Step 9
12
Building a RNN - Step 10
13
Building a RNN - Step 11
14
Building a RNN - Step 12
15
Building a RNN - Step 13
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Includes
23 hours on-demand video
30 articles
4 lectures
Certificate of Completion