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Certificate in Deep Learning with Keras

Certificate in Deep Learning with Keras

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Introduction to Machine Learning with Keras

16 Topics

Course Overview

Installation and Setup

Lesson Overview

Data Representation

Loading a Dataset from the UCI Machine Learning Repository

Data Pre-Processing

Cleaning the Data

Appropriate Representation of the Data

Lifecycle of Model Creation

Machine Learning Libraries and scikit-learn

Creating a Simple Model

Machine Learning versus Deep Learning

6 Topics

Lesson Overview

Introduction to ANNs

Linear Transformations

Matrix Transposition

Introduction to Keras

Deep Learning with Keras

5 Topics

Lesson Overview

Building Your First Neural Network

Gradient Descent for Learning the Parameters

Model Evaluation

Evaluate Your Model with Cross-Validation using Keras Wrappers

7 Topics

Lesson Overview

Cross-Validation

Cross-Validation for Deep Learning Models

Evaluate Deep Neural Networks with Cross-Validation

Model Selection with Cross-validation

Write User-Defined Functions to Implement Deep Learning Models with Cross-Validation

Improving Model Accuracy

8 Topics

Lesson Overview

L1 and L2 Regularization

Dropout Regularization

Other Regularization Methods

Data Augmentation

Hyperparameter Tuning with scikit-learn

Model Evaluation

7 Topics

Lesson Overview

Imbalanced Datasets

Confusion Matrix

Computing Accuracy and Null Accuracy with Healthcare Data

Calculate the ROC and AUC Curves

Computer Vision with Convolutional Neural Networks

8 Topics

Lesson Overview

Computer Vision

Architecture of a CNN

Image Augmentation

Amending Our Model by Reverting to the Sigmoid Activation Function

Changing the Optimizer from Adam to SGD

Classifying a New Image

Transfer Learning and Pre-trained Models

7 Topics

Lesson Overview

Pre-Trained Sets and Transfer Learning

Fine Tuning a Pre-Trained Network

Classification of Images that are not Present in the ImageNet Database

Fine-Tune the VGG16 Model

Image Classification with ResNet

Sequential Modeling with Recurrent Neural Networks

6 Topics

Lesson Overview

Sequential Memory and Sequential Modeling

Long Short-Term Memory – LSTM

Predict the Trend of Apple’s Stock Price Using an LSTM with 50 Units (Neurons)

Predicting the Trend of Apple’s Stock Price Using an LSTM with 100 Units

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