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    • TensorFlow 2.0 Masterclass Hands on Deep Learning and Artificial Intelligence

    TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI

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    Udemy

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    Mode

    Online

    Fees

    ₹ 449 3499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 449  ₹3,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Welcome to the Course!

    • Course Overview !
    • Introduction to Google Colab
    • Links to TensorFlow Notebooks

    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

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