**Generalization in Neural Networks** - Nov 18, 2019.

When training a neural network in deep learning, its performance on processing new data is key. Improving the model's ability to generalize relies on preventing overfitting using these important methods.

Complexity, Deep Learning, Dropout, Neural Networks, Overfitting, Regularization, Training Data

**Designing Your Neural Networks** - Nov 4, 2019.

Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.

Beginners, Classification, Dropout, Gradient Descent, Neural Networks, Regression

**KDnuggets™ News 18:n34, Sep 12: Essential Math for Data Science; 100 Days of Machine Learning Code; Drop Dropout** - Sep 12, 2018.

Also: Neural Networks and Deep Learning: A Textbook; Don't Use Dropout in Convolutional Networks; Ultimate Guide to Getting Started with TensorFlow.

Deep Learning, Dropout, Machine Learning, Mathematics, Textbook

**Ultimate Guide to Getting Started with TensorFlow** - Sep 6, 2018.

Including video and written tutorials, beginner code examples, useful tricks, helpful communities, books, jobs and more - this is the ultimate guide to getting started with TensorFlow.

Deep Learning, Dropout, Python, TensorFlow

**Don’t Use Dropout in Convolutional Networks** - Sep 5, 2018.

If you are wondering how to implement dropout, here is your answer - including an explanation on when to use dropout, an implementation example with Keras, batch normalization, and more.

Convolutional Neural Networks, Dropout, Keras

**Deep Learning Tips and Tricks** - Jul 4, 2018.

This post is a distilled collection of conversations, messages, and debates on how to optimize deep models. If you have tricks you’ve found impactful, please share them in the comments below!

Deep Learning, Dropout, Hyperparameter, Neural Networks, Optimization, Tips

**Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API** - May 15, 2018.

In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP.

**Pages:** 1 2

API, Convolutional Neural Networks, Dropout, Flask, Neural Networks, Python, RESTful API, TensorFlow

**A “Weird” Introduction to Deep Learning** - Mar 30, 2018.

There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

**Pages:** 1 2

Deep Learning, Dropout, Neural Networks, Representation, Tensor, TensorFlow

**The 10 Deep Learning Methods AI Practitioners Need to Apply** - Dec 13, 2017.

Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.

**Pages:** 1 2

Backpropagation, Convolutional Neural Networks, Deep Learning, Dropout, Gradient Descent, LSTM, Neural Networks, Transfer Learning