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Deep Learning with Tensorflow
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Overview
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GPU Based EnvironmentAccess to a GPU-based environment and get hands-on experience in different tools.
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10+ Real-Life Case StudiesPractice on real case studies, ensures complete understanding and retention of the knowledge on each of the concepts.
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Hands-on ToolsHands-on training on Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.
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Live Meet-UpsGet to network with AI Experts and Enthusiasts through live meetups.
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Live InteractionsConcept explanation and implementation through live webinars and guidance by experts.

GPU Based Environment
Access to a GPU-based environment and get hands-on experience in different tools.

10+ Real-Life Case Studies
Practice on real case studies, ensures complete understanding and retention of the knowledge on each of the concepts.

Hands-on Tools
Hands-on training on Tensorflow, Scikit Learn library, Keras and other machine learning and deep learning tools.

Live Meet-Ups
Get to network with AI Experts and Enthusiasts through live meetups.

Live Interactions
Concept explanation and implementation through live webinars and guidance by experts.
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Course Curriculum
1.1 Image recognition

Introduction to Image processing and Computer vision.
Convolutional Neural Networks (CNN)
Object Detection in Images
Object Detection in Video
2.1 Speech Recognition

Advance Text Analytics
Natural Language Processing
Recurrent Neural Networks- RNN
Time Series Analysis with RNN
Variations of RNN- LSTM and GRU Building and Training an RNN for Speech Recognition Developing Chatbots
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