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Deep Learning with Tensor Flow and Keras

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Deep Learning with Tensor Flow and Keras

Deep Learning with Tensor Flow and Keras

Training Cost: $895.00
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Training Type Instructor Based Online Training
Audience and Prerequisites

Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning, and Deep Learning.

Objectives

Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning, and Deep Learning.

Curriculum

Machine Learning with Scikit:
• Recognize where to use ML
• Select best techniques
• Manipulate data with Pandas
• Visualize data with Matplotlib
• Solve regressions & classifications
• Evaluate model performance
• Serve models with Flask & Heroku

Deep Learning with Keras:
• Understand DL fundamentals
• Build Fully Connected Neural Networks
• Train Convolutional Neural Networks
• Design Recurrent Neural Networks
• Discover Embeddings
• Leverage Dropout & Batch Norm
• Use GPUs to train faster

Deep Learning with Tensorflow:
• Discover why TensorFlow is popular
• Turn Keras models into Estimators
• Debug models with Eager Execution
• Scale to large dataset with Data API
• Learn about Core API
• Tune performance with Tensorboard
• Deploy models using cloud services

Projects:
• Predict the price of a house
• Detect language of a text
• Recognize an object in an image
• Classify the sentiment in a sentence
• Forecast future energy consumption
• Deploy an API that predicts phone location from the wifi signal

You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data.

Why Zero to Deep Learning?
If you want to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, 60 hours of weekday and weekend classes are for you. It balances breadth and depth and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras, and Tensorflow.