- Course Overview !
- Introduction to Google Colab
- Links to TensorFlow Notebooks
Online
₹ 449 3,499
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹3,499
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Welcome to the Course!
Introduction to Artificial Neural Networks (ANNs)
- The Neuron
- Activation Function
- Cost Function
- Gradient Descent and Back-Propagation
Building the Artificial Neural Networks (ANNs)
- Step 1 - Installation and Setup
- Step 2 - Data Preprocessing
- Step 3 - Building the Model
- Step 4 - Training the Model
- Step 5 - Model evaluation and performance
Binary Classification with Artificial Neural Networks
- Step 1 - Binary Classification
- Step 2 - Binary Classification
- Step 3 - Binary Classification
- Step 4 - Binary Classification
- Step 5 - Binary Classification
Introduction to Convolutional Neural Network (CNNs)
- Convolutional Neural Network Part 1
Building Convolutional Neural Network (CNNs)
- Building Convolutional Neural Network Step 1
- Building Convolutional Neural Network Step 2
- Building Convolutional Neural Network Step 3
- Building Convolutional Neural Network Step 4
- Building Convolutional Neural Network Step 5
CNN for Binary Image Classification
- CNN for Binary Image Classification Step 1
- CNN for Binary Image Classification Step 2
- CNN for Binary Image Classification Step 3
- CNN for Binary Image Classification Step 4
- CNN for Binary Image Classification Step 5
Project 1 - CNN for Digit Recognition
- CNN for Digit Recognition Part 1
- CNN for Digit Recognition Part 2
- CNN for Digit Recognition Part 3
Project 2 - CNN for Breast Cancer Detection
- CNN for Breast Cancer Detection Part 1
- CNN for Breast Cancer Detection Part 2
- CNN for Breast Cancer Detection Part 3
Project 3 - CNN for Predicting the Bank Customer Satisfaction
- CNN for Predicting the Bank Customer Satisfaction Part 1
- CNN for Predicting the Bank Customer Satisfaction Part 2
- CNN for Predicting the Bank Customer Satisfaction Part 3
- CNN for Predicting the Bank Customer Satisfaction Part 4
Project 4 - CNN for Credit Card Fraud Detection
- CNN for Credit Card Fraud Detection Part 1
- CNN for Credit Card Fraud Detection Part 2
- CNN for Credit Card Fraud Detection Part 3
- CNN for Credit Card Fraud Detection Part 4
Recurrent Neural Networks (RNNs)
- Introduction to Recurrent Neural Networks
- Vanishing Gradient Problem
- LSTM and GRU
Project 5 - RNN - LSTM for IMDB Review Classification
- RNN - LSTM for IMDB Review Classification Part 1
- RNN - LSTM for IMDB Review Classification Part 2
- RNN - LSTM for IMDB Review Classification Part 3
RNN - LSTM for Image Classification
- RNN - LSTM for Image Classification Part 1
- RNN - LSTM for Image Classification Part 2
- RNN - LSTM for Image Classification Part 3
Project 6 - Google Stock Price Prediction with RNN and LSTM
- Google Stock Price Prediction with RNN and LSTM Part 1
- Google Stock Price Prediction with RNN and LSTM Part 2
- Google Stock Price Prediction with RNN and LSTM Part 3
- Google Stock Price Prediction with RNN and LSTM Part 4
- Google Stock Price Prediction with RNN and LSTM Part 5
Transfer Learning
- Introduction to Transfer Learning
- Transfer Learning Part 1
- Transfer Learning Part 2
- Transfer Learning Part 3
- Transfer Learning Part 4
Natural Language Processing
- Introduction to Natural Language Processing
- NLTK Introduction and Installation
- Tokenization
- Stemming
- Lemmatization
- Stop Words
- POS Tagging
- Chunking
- Named Entity Recognition
- Text Classification Part 1
- Text Classification Part 2
Annex 1 - Data Analysis with Numpy
- Introduction to Numpy
- Numpy Arrays Part 1
- Numpy Arrays Part 2
- Numpy Arrays Part 3
- Numpy Indexing and Selection Part 1
- Numpy Indexing and Selection Part 2
- Numpy Operations
Annex 2 - Data Analysis with Pandas
- Pandas Introduction
- Pandas Series
- DataFrames Part 1
- DataFrames Part 2
- DataFrames Part 3
- Missing Data
- Groupby Method
- Merging, Joining and Concatenating DataFrames
- Pandas Operations
- Reading and Writing Files in Pandas
Annex 3 - Data Visualization with Matplotlib
- Matplotlib Part 1 - Functional Method
- Matplotlib Part 1 - Object Oriented Method
- Matplotlib Part 2 - Subplots Method
- Matplotlib Part 2 - Figure size, Aspect ratio and DPI
- Matplotlib Part 3
- Matplotlib Part 4