IIRF Online > Development > Data Science > Artificial Intelligence > Artificial Intelligence Certification Course
Artificial Intelligence Certification Course by Edureka
Skills you will learn!
Curriculum
8 Topics
Overview of Text Mining
Need of Text Mining
Natural Language Processing (NLP) in Text Mining
Applications of Text Mining
OS Module
Reading Writing to text and word files
Setting the NLTK Environment
Accessing the NLTK Corpora
9 Topics
Tokenization
Frequency Distribution
Different Types of Tokenizers
Bigrams Trigrams & Ngrams
Stemming
Lemmatization
Stopwords
POS Tagging
Named Entity Recognition
5 Topics
Syntax Trees
Chunking
Chinking
Context Free Grammars (CFG)
Automating Text Paraphrasing
5 Topics
Machine Learning: Brush Up
Bag of Words
Count Vectorizer
Term Frequency (TF)
Inverse Document Frequency (IDF)
11 Topics
What is Deep Learning?
Curse of Dimensionality
Machine Learning vs. Deep Learning
Use cases of Deep Learning
Human Brain vs. Neural Network
What is Perceptron?
Learning Rate
Epoch
Batch Size
Activation Function
Single Layer Perceptron
14 Topics
Introduction to TensorFlow 2.x
Installing TensorFlow 2.x
Defining Sequence model layers
Activation Function
Layer Types
Model Compilation
Model Optimizer
Model Loss Function
Model Training
Digit Classification using Simple Neural Network in TensorFlow 2.x
Improving the model
Adding Hidden Layer
Adding Dropout
Using Adam Optimizer
12 Topics
Image Classification Example
What is Convolution
Convolutional Layer Network
Convolutional Layer
Filtering
ReLU Layer
Pooling
Data Flattening
Fully Connected Layer
Predicting a cat or a dog
Saving and Loading a Model
Face Detection using OpenCV
20 Topics
Regional-CNN
Selective Search Algorithm
Bounding Box Regression
SVM in RCNN
Pre-trained Model
Model Accuracy
Model Inference Time
Model Size Comparison
Transfer Learning
Object Detection – Evaluation
mAP
IoU
RCNN – Speed Bottleneck
Fast R-CNN
RoI Pooling
Fast R-CNN – Speed Bottleneck
Faster R-CNN
Feature Pyramid Network (FPN)
Regional Proposal Network (RPN)
Mask R-CNN
9 Topics
What is Boltzmann Machine (BM)?
Identify the issues with BM
Why did RBM come into the picture?
Step-by-step implementation of RBM
Distribution of Boltzmann Machine
Understanding Autoencoders
Architecture of Autoencoders
Brief on types of Autoencoders
Applications of Autoencoders
7 Topics
Which Face is Fake?
Understanding GAN
What is Generative Adversarial Network?
How does GAN work?
Step by step Generative Adversarial Network implementation
Types of GAN
Recent Advances: GAN
5 Topics
Where do we use Emotion and Gender Detection?
How does it work?
Emotion Detection architecture
Face/Emotion detection using Haar Cascade
Implementation on Colab
14 Topics
Issues with Feed Forward Network
Recurrent Neural Network (RNN)
Architecture of RNN
Calculation in RNN
Backpropagation and Loss calculation
Applications of RNN
Vanishing Gradient
Exploding Gradient
What is GRU?
Components of GRU
Update gate
Reset gate
Current memory content
Final memory at current time step
18 Topics
What is LSTM?
Structure of LSTM
Forget Gate
Input Gate
Output Gate
LSTM architecture
Types of Sequence-Based Model
Sequence Prediction
Sequence Classification
Sequence Generation
Types of LSTM
Vanilla LSTM
Stacked LSTM
CNN LSTM
Bidirectional LSTM
How to increase the efficiency of the model?
Backpropagation through time
Workflow of BPTT
9 Topics
Auto Image Captioning
COCO dataset
Pre-trained model
Inception V3 model
The architecture of Inception V3
Modify the last layer of a pre-trained model
Freeze model
CNN for image processing
LSTM or text processing
4 Topics
Why is OpenCV used?
What is OpenCV
Applications
Demo: Build a Criminal Identification and Detection App
13 Topics
Use Case: Amazon’s Virtual Try-Out Room.
Why Deploy models?
Model Deployment: Intuit AI models
Model Deployment: Instagram’s Image Classification Models
What is Model Deployment
Types of Model Deployment Techniques
TensorFlow Serving
Browser-based Models
What is TensorFlow Serving?
What are Servables?
Demo: Deploy the Model in Practice using TensorFlow Serving
Introduction to Browser based Models
Demo: Deploy a Deep Learning Model in your Browser.
3 Topics
Converting text to features and labels
Multinomial Naive Bayes Classifier
Leveraging Confusion Matrix
1 Topic
Sentiment Classification on Movie Rating Dataset
Artificial Intelligence Certification Course
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