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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