Description

Learning Neural Networks with Tensorflow

Learning Neural Networks with Tensorflow

MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 634 MB Genre: eLearning | Language: English

. Many people are eager to apply this knowledge to their own data, but many fail to achieve the results they expect.
In this course, we’ll start by building a simple flower recognition program, making you

feel comfortable with Tensorflow, and it will teach you several important concepts in Neural Networks.

Next, you’ll start working with high-dimensional

uses to predict one output: 1275 molecular features you can use to predict the atomization energy of an atom.

The next program we’ll create is a handwritten nuMB er recognition system trained on the famous

MNIST dataset. We’ll work our way up from a simple multilayer

perceptron to a state of the art Deep Convolutional Neural Network.
In the final program, estimate what a celebrity looks like, checking for new pictures to see whether a celebrity is attractive,

wears a hat, has lipstick on, and many more properties that are difficult to estimate with

“traditional” computer vision techniques.
After the course, you’ll not only be able to build a

Neural Network for your own dataset, you’ll also be able to reason which techniques

will improve your Neural Network.In this course, we’ll start by building a simple flower recognition program, making you feel comfortable with

Tensorflow, and it will teach you several important concepts in Neural Networks. Next, you’ll start working with high-

dimensional uses to predict one output: 1275 molecular features you can use to predict the atomization energy of an atom.

The next program we’ll create is a handwritten nuMB er recognition system trained on the famous MNIST dataset.

We’ll work our way up from a simple multilayer perceptron to a state of the art Deep Convolutional Neural Network.