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
--------------------- Part 1 - Artificial Neural Networks ---------------------
ANN Intuition
Building an ANN
Homework Challenge - Should we say goodbye to that customer ?
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Prerequisites -
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How to get the dataset -
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Business Problem Description
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Installing TensorFlow and Keras
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Building an ANN - Step 1
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Building an ANN - Step 2
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Building an ANN - Step 3
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Building an ANN - Step 4
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Building an ANN - Step 5
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Building an ANN - Step 6
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Building an ANN - Step 7
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Building an ANN - Step 8
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Building an ANN - Step 9
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Building an ANN - Step 10
Evaluating, Improving and Tuning the ANN
Homework Challenge - Put me one step down on the podium
-------------------- Part 2 - Convolutional Neural Networks --------------------
CNN Intuition
Building a CNN
Homework - What's that pet ?
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How to get the dataset
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Installing TensorFlow and Keras
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Introduction to CNNs
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Building a CNN - Step 1
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Building a CNN - Step 2
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Building a CNN - Step 3
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Building a CNN - Step 4
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Building a CNN - Step 5
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Building a CNN - Step 6
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Building a CNN - Step 7
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Building a CNN - Step 8
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Building a CNN - Step 9
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Building a CNN - Step 10
Evaluating, Improving and Tuning the CNN
---------------------- Part 3 - Recurrent Neural Networks ----------------------
RNN Intuition
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