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