Skip to main content

Featured Post

Top 10 Advance Java Interview questions?

Top 10 Advance Java Interview questions?   What are the differences between abstract classes and interfaces in Java? What is the difference between ArrayList and LinkedList in Java? What is the purpose of the finalize() method in Java? What is polymorphism in Java and how is it achieved? What are the different types of inner classes in Java? What is the difference between static and non-static methods in Java? What are the different types of exceptions in Java and how do they differ? What is the difference between checked and unchecked exceptions in Java? How does Java handle multithreading and synchronization? What are the different types of JDBC drivers in Java and how do they differ?
Post a Comment

What is TensorFlow?

 

What is TensorFlow?

TensorFlow is a popular framework of machine learning and deep learning. It is a free and open-source library which is released on 9 November 2015 and developed by Google Brain Team. It is entirely based on Python programming language and use for numerical computation and data flow, which makes machine learning faster and easier.

TensorFlow can train and run deep neural networks for image recognition, handwritten digit classification, recurrent neural network, word embedding, natural language processing, video detection, and many more. TensorFlow is run on multiple CPUs or GPUs and also mobile operating systems.

The word TensorFlow is made by two words, i.e., Tensor and Flow

  1. Tensor is a multidimensional array
  2. Flow is used to define the flow of data in operation.



Prerequisite

TensorFlow is completely based on Python. So, it is essential to have basic knowledge of Python. A good understanding of basic mathematics and artificial intelligence concept allows us to understand TensorFlow easily.

History of TensorFlow

Many years ago, deep learning started to exceed all other machine learning algorithms when giving extensive data. Google has seen it could use these deep neural networks to upgrade its services:

  • Google search engine
  • Gmail
  • Photo

They build a framework called TensorFlow to permit researchers and developers to work together in an AI model. Once it is approved and scaled, it allows lots of people to use it.

It was first released in 2015, while the first stable version was coming in 2017. It is an open-source platform under Apache Open Source License. We can use it, modify it, and reorganize the revised version for free without paying anything to Google.

Components of TensorFlow

Tensor

The name TensorFlow is derived from its core framework, "Tensor." A tensor is a vector or a matrix of n-dimensional that represents all types of data. All values in a tensor hold similar data types with a known shape. The shape of the data is the dimension of the matrix or an array.

A tensor can be generated from the input data or the result of a computation. In TensorFlow, all operations are conducted inside a graph. The group is a set of calculations that takes place successively. Each transaction is called an op node are connected.

Graphs

TensorFlow makes use of a graph framework. The chart gathers and describes all the computations done during the training.

Advantages

  • It was fixed to run on multiple CPUs or GPUs and mobile operating systems.
  • The portability of the graph allows to conserve the computations for current or later use. The graph can be saved because it can be executed in the future.
  • All the computation in the graph is done by connecting tensors together.

Consider the following expression a= (b+c)*(c+2)

Labels:

Comments

Post a Comment

Popular posts from this blog

WHAT ARE NEURAL NETWORKS? | Comingfly

WHAT ARE NEURAL NETWORKS ? Neural Networks the process of machine learning are neural networks. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers. During training of these neural networks, the weights attached to different inputs will continue to be varied until the output from the neural network is very close to what is desired, at which point the network will have 'learned' how to carry out a particular task. A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data. It is these deep neural networks that have fueled the current leap forward in the ability of computers to carry out task like speech recognition and computer vision. T here are vario...
6 comments
Read more

What is Go Language ? | Comingfly

What is Go Language ? What Go Language? :- v    Go is a modern, general purpose language. v    A new ,Open source Programming language. v    Concurrent , Builds fast at scale. v    Go language is very fast. v    Garbage-Collected. v    Lightweight syntax. v    Simple type system. v    Productive. v    Simple. v    Fun History of Go language :- Go language developed by Rob Pike   and Ken Thompson. More than 250 contributors join the project.   Design began late in 2007.   Become open source in 2009.   Version is 1.2.2. Feature of Go language ? v   In the current world, languages don't help enough. v   Computers fast but software construction slow. v   Efficiency. v   Safety. v   Speed. v   Concurrency. v   Scalability. v   Fast development cycle. v   No surprises. v   Multi-core Why Developed a Language ? Google has bi...
5 comments
Read more

What is Java? | Comingfly

What is Java? Developed by Sun Microsystems in the mid-1990s, Java was originally built to be a high-level and object-oriented programming language that looks and feels similar to C++. Along with being extremely popular, Java can implement a wide variety of algorithms, which are very useful to the machine learning community. Java is regarded as one of the most secure programming languages, largely due to its use of bytecode and sandboxes. Java manages to harness much of the power of C++ while overcoming its security issues and overall complexity. But with all of its improvements over C++, Java has a reputation for being slower than many other programming languages. Additionally, as of 2019, Java has implemented commercial licensing for certain business applications, which can be costly.
Post a Comment
Read more