Neural Networks (ANN) in R studio using Keras & TensorFlow 2.0 by Start-Tech Academy

Neural Networks (ANN) in R studio using Keras & TensorFlow 2.0

What's included?

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Contents

Introduction
Welcome to the Course
3 mins
Introduction to Neural Networks and Course flow
5 mins
Course Resourses
9.98 MB
Setting Up R Studio and R crash course
Installing R and R studio
6 mins
Basics of R and R studio
11 mins
Packages in R
11 mins
Inputting data part 1 - Inbuilt datasets of R
5 mins
Inputting data part 2 - Manual data entry
4 mins
Inputting data part 3 - Importing from CSV or Text files
7 mins
Creating Barplots in R
14 mins
Creating Histograms in R
7 mins
Neural Network Concepts
Perceptron
10 mins
Activation Functions
8 mins
Basic Terminologies
10 mins
Gradient Descent
13 mins
Back Propagation
23 mins
Some Important Concepts
13 mins
Hyperparameters
9 mins
Keras and Tensorflow
4 mins
Building ANN models in R Studio
Installing Keras and Tensorflow
3 mins
Data Normalization and Test-Train Split
12 mins
Building,Compiling and Training
15 mins
Evaluating and Predicting
10 mins
ANN with NeuralNets Package
9 mins
Building Regression Model with Functional API
13 mins
Complex Architectures using Functional API
9 mins
Saving - Restoring Models and Using Callbacks
21 mins