Tensorflow Tutorial – Deep Learning Solutions for Images Part 1

By Prosyscom
In March 17, 2018
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Tensorflow Deep Learning Solutions for Images:
Tensorflow is Google’s popular offering for machine learning and deep learning. It has quickly become a popular choice of tool for performing fast, efficient, and accurate deep learning. This course presents the implementation of practical, real-world projects, teaching you how to leverage Tensforflow’s capabilties to perform efficient deep learning.

In this video, you will be acquainted with the different paradigms of performing deep learning such as deep neural nets, convolutional neural networks, recurrent neural networks, and more, and how they can be implemented using Tensorflow.

This will be demonstrated with the help of end-to-end implementations of three real-world projects on popular topic areas such as natural language processing, image classification, fraud detection, and more. By the end of this course, you will have mastered all the concepts of deep learning and their implementation with Tensorflow and Keras.

Table of Contents

Machine Learning Toolkit

The Course Overview
Installing Docker
The Machine Learning Dockerfile
Sharing Data
Machine Learning REST Service

Image Data

MNIST Digits
Tensors: Just Multidimensional Arrays
Turning Images into Tensors
Turning Categories into Tensors

Classical Neural Network

Classical/Dense Neural Network
Activation and Non Linearity
Softmax
Training and Testing Data
Dropout and Flatten
Solvers
Hyperparameters
Grid Search

Convolutional Neural Network

Convolutions
Pooling
Convolutional Neural Network
Deep Neural Network

An Image Classification Server

REST API Definition
Trained Models in Docker Containers
Making Predictions

CODE:http://www.mediafire.com/file/v84dny4…

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