IIRF Online > Development > Data Science > Deep Learning > Data Science: Deep Learning and Neural Networks in Python
Data Science: Deep Learning and Neural Networks in Python by Udemy
The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code
Course Highlights
- Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
- Learn how a neural network is built from basic building blocks (the neuron)
- Code a neural network from scratch in Python and numpy
- Code a neural network using Google's TensorFlow
- Describe different types of neural networks and the different types of problems they are used for
- Derive the backpropagation rule from first principles
- Create a neural network with an output that has K > 2 classes using softmax
- Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
- Install TensorFlow
Skills you will learn!
Curriculum
3 Topics
Introduction and Outline
Where to get the code
How to Succeed in this Course
6 Topics
Review Section Introduction
What does machine learning do?
Neuron Predictions
Neuron Training
Deep Learning Readiness Test
Review Section Summary
2 Topics
Neural Networks with No Math
Introduction to the E-Commerce Course Project
15 Topics
Prediction: Section Introduction and Outline
From Logistic Regression to Neural Networks
Interpreting the Weights of a Neural Network
Softmax
Sigmoid vs. Softmax
Feedforward in Slow-Mo (part 1)
Feedforward in Slow-Mo (part 2)
Where to get the code for this course
Softmax in Code
Building an entire feedforward neural network in Python
E-Commerce Course Project: Pre-Processing the Data
E-Commerce Course Project: Making Predictions
Prediction Quizzes
Prediction: Section Summary
Suggestion Box
16 Topics
Training: Section Introduction and Outline
What do all these symbols and letters mean?
What does it mean to "train" a neural network?
How to Brace Yourself to Learn Backpropagation
Categorical Cross-Entropy Loss Function
Training Logistic Regression with Softmax (part 1)
Training Logistic Regression with Softmax (part 2)
Backpropagation (part 1)
Backpropagation (part 2)
Backpropagation in code
Backpropagation (part 3)
The WRONG Way to Learn Backpropagation
E-Commerce Course Project: Training Logistic Regression with Softmax
E-Commerce Course Project: Training a Neural Network
Training Quiz
Training: Section Summary
10 Topics
Practical Issues: Section Introduction and Outline
Donut and XOR Review
Donut and XOR Revisited
Neural Networks for Regression
Common nonlinearities and their derivatives
Practical Considerations for Choosing Activation Functions
Hyperparameters and Cross-Validation
Manually Choosing Learning Rate and Regularization Penalty
Why Divide by Square Root of D?
Practical Issues: Section Summary
6 Topics
TensorFlow plug-and-play example
Visualizing what a neural network has learned using TensorFlow Playground
Where to go from here
You know more than you think you know
How to get good at deep learning + exercises
Deep neural networks in just 3 lines of code with Sci-Kit Learn
8 Topics
Facial Expression Recognition Project Introduction
Facial Expression Recognition Problem Description
The class imbalance problem
Utilities walkthrough
Facial Expression Recognition in Code (Binary / Sigmoid)
Facial Expression Recognition in Code (Logistic Regression Softmax)
Facial Expression Recognition in Code (ANN Softmax)
Facial Expression Recognition Project Summary
5 Topics
Backpropagation Supplementary Lectures Introduction
Why Learn the Ins and Outs of Backpropagation?
Gradient Descent Tutorial
Help with Softmax Derivative
Backpropagation with Softmax Troubleshooting
4 Topics
What's the difference between "neural networks" and "deep learning"?
Who should take this course in 2020 and beyond?
Who should take backpropagation in 2020 and beyond?
Where does this course fit into your deep learning studies?
3 Topics
Pre-Installation Check
Anaconda Environment Setup
How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow
5 Topics
How to Uncompress a .tar.gz file
How to Code by Yourself (part 1)
How to Code by Yourself (part 2)
Proof that using Jupyter Notebook is the same as not using it
Python 2 vs Python 3
5 Topics
How to Succeed in this Course (Long Version)
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
Where does this course fit into your deep learning studies? (Old Version)
Machine Learning and AI Prerequisite Roadmap (pt 1)
Machine Learning and AI Prerequisite Roadmap (pt 2)
2 Topics
What is the Appendix?
BONUS
Data Science: Deep Learning and Neural Networks in Python
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