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Deep Learning with Keras

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Last Updated on April 11, 2021 by thegiantreport

Deep Learning with Keras




Deep Learning & Keras concepts, model, layers, modules. Build a Neural Network and Image Classification Model with Keras

What you’ll learn

  • Introduction to Deep Learning and Neural Networks
  • Understand Deep Learning with Keras
  • Take a big step towards becoming a Deep Learning / Machine Learning engineer
  • Keras overview, features, benefits
  • Keras installation
  • Keras – Models, Layers and Modules
  • Keras Models – Sequential Model, Functional API
  • Keras Layers – Dense Layers, Dropout Layers, Convolution Layers, Pooling Layers
  • Keras Modules
  • Keras – Model Compilation, Evaluation and Prediction
  • Loss, Optimizer, Metrics, Compile the Model
  • Model Training, Model Evaluation, Model Prediction
  • Life-Cycle for Neural Network Models in Keras
  • Define Network, Compile Network, Fit Network, Evaluate Network, Make Predictions
  • Building your first Neural Network with Keras
  • Building a Multilayer Perceptron neural network
  • Building Image Classification Model with Keras
  • Convolutional Neural Network (CNN) & its layers




Requirements

  • Enthusiasm and determination to make your mark on the world!



Who this course is for:

  • Deep Learning / Machine Learning Engineers
  • Machine Learning Researchers – NLP, Python, Deep Learning
  • Data Scientists and Machine Learning Scientists
  • Newbies and Beginners aspiring for a career in Machine Learning / Data Science / Deep Learning
  • Head of Engineering and Technical Leads
  • Anyone who wants to learn Deep Learning and Machine Learning
  • Computer Vision Researchers
  • AI Deep Learning Platform Leads
  • Senior ML and Deep Learning Scientists
  • Senior Data Consultants & Analytics Professionals
  • Product Managers
  • Artificial Intelligence Program Leads





ENROLL

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