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Learn MoreIntroduction to Deep Learning with Keras and Tensorflow- Learn the basics of deep learning by coding it yourself with Keras. Keras is a very popular user friendly deep-learning framework for creating and running deep learning models. Using Keras (with a tensorflow backend) we will learn to build deep learning models by practicing together on the following tasks: image recognition, text classification, and housing price predictions. You will learn the correct way to conduct end-to-end deep learning: preprocessing the data, appropriate network architecture, optimizers, loss functions, cross-validation techniques and evaluation metrics. Prior experience with Python is required — or the ability to learn it as you go.
Instructor for this course
Gilad Gressel
Course Introduction
Installing Software
Launch Jupyter Notebook Task
Launch Jupyter Notebook Demo
What Is Deep Learning
Explore Linear Regression Task
How Computers Learn
Explore Linear Regression Demo
Build a MNIST Digit Recognition System Task
Build a MNIST Digit Recognition System Demo
Explore Loss Function, Batch Size & Epochs Task
Mechanics Of Deep Learning :: Overview
Explore Loss Function, Batch Size & Epochs Demo
Explore Optimizers Task
Loss Functions
Optimizers
Explore Optimizers Demo
Layers
Explore Layers Task
Explore Layers Demo
Activation Functions
Explore Activation Functions Task
Explore Activation Functions Demo
The Curse of Dimensionality Task
The Curse of Dimensionality Demo
Scaling Our Data Task
Scaling Our Data Demo
Understanding One Hot Encoding Task
Understanding One Hot Encoding Demo
Text Processing Task
Text Processing Demo
Preprocessing :: Overview
Scaling Your Data
Encodings
Dealing With Text
Validation Data Task
Validation Data Demo
Explore Metrics Task
Explore Metrics Demo
Battling Overfitting Task
Battling Overfitting Demo
Explore Cross Validation Schemes Task
Explore Cross Validation Schemes Demo
Evaluation & Validation
Metrics
Overfitting Vs Underfitting
Cross Validation Schemes
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