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Building a Deep Learning Model and Neural Network with Keras

 

Building a Deep Learning Model and Neural Network with Keras

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

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 Layers - Dense Layers, Dropout Layers, Convolution Layers, Pooling Layers
  • 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 Image Classification Model with Keras
  • Convolutional Neural Network (CNN) & its layers

Requirements

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

Description

Deep Learning with Keras - Course Syllabus

1. Introduction to Deep Learning & Keras

  • What is deep learning?
  • Introduction to Keras
  • a) Overview of Keras
  • b) Features of Keras
  • c) Benefits of Keras

 2. Keras - Models, Layers and Modules

  • a) Sequential Model
  • b) Functional API
  • Keras Layers
  • a) Dense Layers
  • b) Dropout Layers
  • c) Convolution Layers
  • d) Pooling Layers

   3. Keras - Model Compilation, Evaluation and Prediction

  • Loss
  • Optimizer
  • Metrics
  • Compile the model
  • Model Training

   4. Life-Cycle for Neural Network Models in Keras

  • Define Network
  • Compile Network
  • Fit Network
  • Evaluate Network
  • Make Predictions

5. Building our first Neural Network with Keras

(Building a Multilayer Perceptron neural network)

  • Load Data
  • Define Keras Model
  • Compile Keras Model
  • Fit Keras Model
  • Evaluate Keras Model
  • Make Predictions

6. Building Image Classification Model with Keras

  • What is Image Recognition (Classification)
  • Convolutional Neural Network (CNN) & its layers
  • Building Image Classification Model (step by step)

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 Data Consultants & Analytics Professionals
  • Product Managers
  • Artificial Intelligence Program Leads

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