# Building a Deep Learning Model and Neural Network with Keras

Building a Deep Learning Model and Neural Network with Keras

*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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