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Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly. Tensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or a list.Keras was developed as a part of the research for the project ONEIROS (Open ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install tensorflowKeras means ‘horn’ in Greek. Keras was developed as a part of the research for the project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes.Keras means ‘horn’ in Greek. Keras was developed as a part of the research for the project ONEIROS (Open ended Neuro-Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a high-level API that has a productive interface that helps solve machine learning problems.It runs on top of Tensorflow framework. It was built to ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes.Tensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or a list.Keras means ‘horn’ in Greek. Keras was developed as a part of research for the project ONEIROS (Open ended Neuro-Electronic Intelligent Robot Operating System). Keras is a ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly. This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural networks.The ‘TensorFlow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.The ‘TensorFlow’ package can be installed on Windows using the below line of code −pip install tensorflowTensor is a data structure used in TensorFlow. It helps connect edges in a flow diagram. This flow diagram is known as the ‘Data flow graph’. Tensors are nothing but a multidimensional array or ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’.The ‘TensorFlow’ package can be installed on Windows using the below line of code −pip install tensorflowKeras means ‘horn’ in Greek. Keras was developed as a part of the research for the project ONEIROS ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications and much more. It is used in research and for production purposes.Keras was developed as a part of the research for the project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System). Keras is a deep learning API, which is written in Python. It is a high-level API that has a productive interface that helps solve machine learning problems.It runs on top of the Tensorflow framework. It was built to help experiment in a quick ... Read More

To get the links present on the website using PowerShell, we can first retrieve the data from the webpage using the Invoke-WebRequest cmdlet.$req = Invoke-WebRequest -uri "https://theautomationcode.com" $reqOutputTo retrieve only links we can use that property and there you will also find some sub-properties like InnerHTML, Innertext, href, etc as shown in the output.$req = Invoke-WebRequest -uri "https://theautomationcode.com" $req.LinksOutputinnerHTML : Scripts innerText : Scripts outerHTML : Scripts outerText : Scripts tagName : A href : https://theautomationcode.com/scripts/ We need only links so we will use the href property.$req.Links | Select -ExpandProperty hrefOutputhttps://theautomationcode.com/2020/11/ https://theautomationcode.com/author/chiragce17/ ... Read More

The diameter of a binary tree is the (left_height + right_height + 1) for each node. So in this method we will calculate (left_height + right_height + 1) for each node and update the result . The time complexity here stays O(n).Let us first define the struct that would represent a tree node that contains the data and its left and right node child. If this is the first node to be created then it’s a root node otherwise a child node.struct Node {    int data;    struct Node *leftChild, *rightChild; };Next we create our newNode(int data) function that ... Read More