Implement Logistic Regression Using TensorFlow

AmitDiwan
Updated on 19-Jan-2021 13:33:21

286 Views

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.Multi−dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources.The ‘tensorflow’ package can be installed on ... Read More

Use MNIST Data with TensorFlow for Handwritten Digit Recognition

AmitDiwan
Updated on 19-Jan-2021 13:29:22

278 Views

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.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 multidimensional array or a list.We are using the Google Colaboratory to run the below code. Google ... Read More

Train a Linear Model Using TensorFlow in Python

AmitDiwan
Updated on 19-Jan-2021 13:26:46

164 Views

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.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 multidimensional array or a list. They can be identified using three main attributes −Rank − It ... Read More

Use Placeholders in TensorFlow for Matrix Multiplication

AmitDiwan
Updated on 19-Jan-2021 13:24:49

250 Views

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 network. It is highly scalable, and comes with many popular datasets.The ‘tensorflow’ package can be installed on Windows using the below line of code −pip install ... Read More

Sum Specific Elements of Rows in a Matrix Using TensorFlow in Python

AmitDiwan
Updated on 19-Jan-2021 13:24:29

408 Views

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 network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources.The ‘tensorflow’ package can be installed ... Read More

Element-wise Multiplication in TensorFlow using Python

AmitDiwan
Updated on 19-Jan-2021 13:17:31

732 Views

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 network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More

Multiply Two Matrices Using TensorFlow in Python

AmitDiwan
Updated on 19-Jan-2021 13:17:17

1K+ Views

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 network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More

Add Two Matrices Using TensorFlow in Python

AmitDiwan
Updated on 19-Jan-2021 13:15:41

619 Views

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 network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More

Create Tensor and Display Message using TensorFlow in Python

AmitDiwan
Updated on 19-Jan-2021 13:15:25

177 Views

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 network. It is highly scalable, and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More

Visualize a Treemap in Python using Pygal

AmitDiwan
Updated on 19-Jan-2021 13:12:56

255 Views

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the complicated working underneath it and performing complicated computations.Pygal is an open source Python package that helps in the creation of interactive plots, and SVG (Scalar Vector Graphics) images of graphs. SVG refers to dynamically generating animated graphs with the given data. These SVG images of graphs can be used and customized depending on our requirements. The SVG images are highly scalable, hence they can be downloaded in high quality format. These downloaded images can also be embedded to ... Read More

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