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Live Online & Classroom Enterprise Training
Master core concepts of Deep Learning with Google's TensorFlow- a distributed scalable deep learning platform. Our Deep Learning course aids in building deep learning models suitable for different business domains in TensorFlow. Train your team on TensorFlow and Neural Net to solve complex organizational problems.
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SpringPeople’s Deep learning training gives you an in-depth understanding of the architecture of TensorFlow Core, API layers, and the use cases. Master unsupervised learning models, deep learning models and more. Right from installing and configuring TensorFlow, importing data, simple models to develop complex layered models and architectures to crunch huge data sets leveraging the distributed, robust and scalable machine learning framework from Google.
Learn to implement Keras on top of TensorFlow to experiment with deep neural networks and tune machine learning models to produce more successful results with our deep learning with TensorFlow course.
Work on different types of Deep Architectures: Convolutional Networks, Recurrent Networks, and Autoencoders, and further get familiar with the advanced concepts of Natural Language Processing. Also, gain practical exposure on text to speech processing.
Our cloud labs comprise guided exercises practice building handwritten digit recognition, deep learning, convolution and time-series models of Neural Networks. Gain hands-on experience by working with real-time uses cases and data sets using various neural network architecture, suitable to different industry domains and provide solutions.
Lead TensorFlow based AI projects with your teams trained in our TensorFlow course.
The Deep Learning training enables you to:
Articulate the core architecture and API layers TensorFlow
Construct a computing environment and learn to install TensorFlow
Develop TensorFlow graphs required for everyday computations
Use logistic regression for classification along with TensorFlow
Develop, design and train a multilayer neural network with TensorFlow
Demonstrate Activation functions and Optimizers in detail with hands-on
Demonstrate intuitively convolutional neural networks for image recognition
Design and construct a neural network from simple to more accurate models
Understand recurrent neural networks, its applications and learn how to build these solutions
Understand hyper-parameters and tuning
Learn how to build industry's leading uses cases eg, Recommendation systems, Speech recognition, commercial grade Image classification and object localization etc....
Lead ML/DL projects based on TensorFlow implementation
Live Online Training18 Hours
The trainer for this Deep Learning with TensorFlow Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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