Neural Network Model - Deep Learning with Neural Networks and TensorFlow

Channel:
United States sentdex
Subscribers:
1,410,000
Published on ● Video Link: https://www.youtube.com/watch?v=BhpvH5DuVu8


Duration: 32:51
267,697 views
2,611

Welcome to part three of Deep Learning with Neural Networks and TensorFlow, and part 45 of the Machine Learning tutorial series. In this tutorial, we're going to be heading (falling) down the rabbit hole by creating our own Deep Neural Network with TensorFlow.

We're going to be working first with the MNIST dataset, which is a dataset that contains 60,000 training samples and 10,000 testing samples of hand-written and labeled digits, 0 through 9, so ten total "classes." I will note that this is a very small dataset in terms of what you would be working with in any realistic setting, but it should also be small enough to work on everyone's computers.

The MNIST dataset has the images, which we'll be working with as purely black and white, thresholded, images, of size 28 x 28, or 784 pixels total. Our features will be the pixel values for each pixel, thresholded. Either the pixel is "blank" (nothing there, a 0), or there is something there (1). Those are our features. We're going to attempt to just use this extremely rudimentary data, and predict the number we're looking at (a 0,1,2,3,4,5,6,7,8, or 9). We're hoping that our neural network will somehow create an inner-model of the relationships between pixels, and be able to look at new examples of digits and predict them to a high degree.

https://pythonprogramming.net
https://twitter.com/sentdex
https://www.facebook.com/pythonprogramming.net/
https://plus.google.com/+sentdex



Other Videos By sentdex


2016-09-20Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13
2016-09-19Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12
2016-09-14RNN Example in Tensorflow - Deep Learning with Neural Networks 11
2016-09-13Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10
2016-08-26Installing the GPU version of TensorFlow for making use of your CUDA GPU
2016-08-25Using More Data - Deep Learning with Neural Networks and TensorFlow part 8
2016-08-24Training/Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7
2016-08-23Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6
2016-08-22Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5
2016-07-21Running our Network - Deep Learning with Neural Networks and TensorFlow
2016-07-20Neural Network Model - Deep Learning with Neural Networks and TensorFlow
2016-07-19MSRC Blue CCW 1.3
2016-07-19TensorFlow Basics - Deep Learning with Neural Networks p. 2
2016-07-18Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1
2016-07-18Deep Learning with Neural Networks and TensorFlow Introduction
2016-07-12Honda S2000 MSR Cresson CCW trackday 7-10-2016
2016-07-07Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42
2016-07-05Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41
2016-07-01Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
2016-06-29Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
2016-06-22K Means from Scratch - Practical Machine Learning Tutorial with Python p.38


Tags:
computation graph
Deep Learning
TensorFlow
Theano
Neural Network
Artificial Neural Network
Tutorial
Python
ANN
Artificial Intelligence
model