René's URL Explorer Experiment


Title: Intro to Deep Learning

Description: Deep Learning Tutorial using Keras

direct link

Domain: kitchell.github.io

authorLindsey M Kitchell

Links:

1. Intro to Deep Learninghttps://kitchell.github.io/DeepLearningTutorial/1introtodeeplearning.html
2. Intro to Kerashttps://kitchell.github.io/DeepLearningTutorial/2introtokeras.html
3. MLPs in Kerashttps://kitchell.github.io/DeepLearningTutorial/3mlpsinkeras.html
4. CNNs in Kerashttps://kitchell.github.io/DeepLearningTutorial/4cnnsinkeras.html
5. Activation Functionshttps://kitchell.github.io/DeepLearningTutorial/5activationfunctions.html
6. Other Useful Keras Functionshttps://kitchell.github.io/DeepLearningTutorial/6otherkerasfunctions.html
7. Loss Functions and Optimizershttps://kitchell.github.io/DeepLearningTutorial/7lossfunctionsoptimizers.html
8. Evaluating Neural Networkshttps://kitchell.github.io/DeepLearningTutorial/8evaluatingnns.html
9. Data Preprocessinghttps://kitchell.github.io/DeepLearningTutorial/9datapreprocessing.html
10. Regularizationhttps://kitchell.github.io/DeepLearningTutorial/10regularization.html
11. Hyperparameter Tuninghttps://kitchell.github.io/DeepLearningTutorial/11hyperparametertuning.html
Home (current)https://kitchell.github.io/DeepLearningTutorial/index.html
About the Authorhttps://lindseykitchell.weebly.com/
This video gives a great, easy to understand, explanation of CNNshttps://www.youtube.com/watch?v=JiN9p5vWHDY&list=PLjJh1vlSEYgvGod9wWiydumYl8hOXixNu&index=8
Very useful resource and source of the images used belowhttps://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
This is also a very helpful resourcehttp://cs231n.github.io/convolutional-networks/
As is this course on Kagglehttps://www.kaggle.com/dansbecker/intro-to-deep-learning-and-computer-vision
Useful python notebookhttps://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/pydata-london2017/3.%20Convolutional%20Neural%20Networks.ipynb
Here is the keras documentation for convolutional layershttps://keras.io/layers/convolutional/
Here is the keras documentation on Pooling layershttps://keras.io/layers/pooling/
herehttps://keras.io/getting-started/sequential-model-guide/
Activation Functionshttps://kitchell.github.io/DeepLearningTutorial/5activationfunctions.html

Viewport: width=device-width, initial-scale=1, shrink-to-fit=no

URLs of crawlers that visited me.