Price: $54.99
(as of Dec 17,2024 10:40:58 UTC – Details)
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Publisher : Packt Publishing (November 27, 2020)
Language : English
Paperback : 384 pages
ISBN-10 : 1800566611
ISBN-13 : 978-1800566613
Item Weight : 1.47 pounds
Dimensions : 9.25 x 7.52 x 0.8 inches
Are you interested in exploring deep learning but intimidated by the complexities of coding? Look no further than KNIME Analytics Platform! With its user-friendly interface and drag-and-drop functionality, you can now build, train, and deploy various deep neural network architectures without writing a single line of code.
In this post, we will guide you through the process of building a deep learning model using KNIME. Whether you are a beginner or an experienced data scientist, KNIME’s intuitive workflow system makes it easy for anyone to harness the power of deep learning.
First, you can import your dataset into KNIME and preprocess it using a wide range of data manipulation and transformation nodes. Next, you can choose from a variety of deep learning nodes to build your neural network architecture, including fully connected layers, convolutional layers, recurrent layers, and more.
Once your model is built, you can train it using KNIME’s integrated deep learning framework, which supports popular deep learning libraries such as TensorFlow and Keras. You can easily monitor the training process, adjust hyperparameters, and evaluate the model’s performance using KNIME’s interactive visualizations.
Finally, you can deploy your trained model to make predictions on new data or integrate it into a production environment. KNIME provides seamless integration with various deployment options, including batch processing, streaming data, and web services.
With KNIME Analytics Platform, you can unlock the full potential of deep learning without the need for complex coding. Start building, training, and deploying your deep neural network architectures today with KNIME!
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