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Introduction to Keras
  • Overview of Keras
  • Features
  • Benefits
Keras - Installation
  • Prerequisites
  • Keras Installation Steps
  • Keras Installation Using Python
  • Anaconda Cloud
Backend Configuration
  • TensorFlow
  • Theano
Overview of Deep learning
  • Artificial Neural Networks
  • Multi-Layer Perceptron
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Workflow of ANN

Deep learning with Keras
  • Architecture of Keras
  • Model
  • Layer
  • Core Modules
Modules
  • Available modules
  • Backend module
  • utils module
Deep learning with Keras
  • Introduction
  • Basic Concept of Layers
  • Initializers
  • Constraints
  • Regularizers
  • Activations
  • Dense Layer
  • Dropout Layers
  • Flatten Layers
  • Reshape Layers
  • Permute Layers
  • Repeat Vector Layers
  • Lambda Layers
  • Convolution Layers
  • Pooling Layer
  • Locally connected layer
  • Merge Layer
  • Embedding Layer

Customized Layer
Models
  • Sequential
  • Functional API
Model Compilation
  • Loss
  • Optimizer
  • Metrics
  • Compile the model
  • Model Training
  • Create a Multi-Layer Perceptron ANN
  • Final thoughts
Model Evaluation and Model Prediction
  • Model Evaluation
  • Model Prediction

Convolution Neural Network
Regression Prediction using MPL
Time Series Prediction using LSTM RNN

Applications
Real Time Prediction using ResNet Model
Pre-Trained Models
  • VGG16
  • MobileNetV2
  • InceptionResNetV2
  • InceptionV3
  • Conclusion



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