Found 37 Articles for Keras

How can Tensorflow be used to load the dataset which contains stackoverflow questions using Python?

AmitDiwan
Updated on 18-Jan-2021 12:04:10

118 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 a deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude ... Read More

How can Tensorflow be used to explore the dataset and see a sample file from the stackoverflow question dataset using Python?

AmitDiwan
Updated on 18-Jan-2021 12:02:08

78 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 tensorflowKeras 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. ... Read More

How can Keras be used to download and explore the dataset associated with predicting tag for a stackoverflow question in Python?

AmitDiwan
Updated on 18-Jan-2021 12:00:36

139 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 networks. 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

Demonstrate a basic implementation of ‘tf.keras.layers.Dense’ in Python

AmitDiwan
Updated on 18-Jan-2021 11:56:19

184 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 a multidimensional array or a list.Keras is a deep learning API, which is written in Python. ... Read More

How can Keras be used to extract and reuse nodes in graph of layers using Python?

AmitDiwan
Updated on 18-Jan-2021 11:54:35

150 Views

Keras was developed as a part of 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 manner. It provides essential abstractions and building blocks that are essential in developing and encapsulating machine learning solutions.It is highly scalable, and comes with cross-platform abilities. This means Keras can be run on TPU or clusters of GPUs. ... Read More

How can Keras be used with Embedding layer to share layers using Python?

AmitDiwan
Updated on 18-Jan-2021 11:52:38

219 Views

Keras was developed as a part of 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 help experiment in a quick manner. It provides essential abstractions and building blocks that are essential in developing and encapsulating machine learning solutions.It is highly scalable and comes with cross-platform abilities. This means Keras can be run on TPU or clusters of GPUs. ... Read More

How can Keras be used to train the model using Python Program?

AmitDiwan
Updated on 18-Jan-2021 11:51:19

71 Views

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 manner. It provides essential abstractions and building blocks that are essential in developing and encapsulating machine learning solutions.It is highly scalable and comes with cross-platform abilities. This means Keras can be run on TPU or clusters of ... Read More

How can Keras be used to plot the model using Python Program?

AmitDiwan
Updated on 18-Jan-2021 11:47:52

76 Views

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 the Tensorflow framework. It was built to help experiment in a quick manner. It provides essential abstractions and building blocks that are essential in developing and encapsulating machine learning solutions.It is highly scalable and comes with cross-platform abilities. This means Keras can be run ... Read More

How can functional API be used to work with residual connections in Python?

AmitDiwan
Updated on 18-Jan-2021 11:45:39

173 Views

Keras is present within the Tensorflow package. It can be accessed using the below line of code.import tensorflow from tensorflow import kerasThe Keras functional API helps create models that are more flexible in comparison to models created using sequential API. The functional API can work with models that have non-linear topology, can share layers and work with multiple inputs and outputs. A deep learning model is usually a directed acyclic graph (DAG) that contains multiple layers. The functional API helps build the graph of layers.We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps ... Read More

How can Keras be used to train the model using Python?

AmitDiwan
Updated on 18-Jan-2021 11:40:52

71 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.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

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