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    Advanced Deep Learning using Python

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    Mode

    Online

    Duration

    12 Weeks

    Quick Facts

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

    Course and certificate fees

    The fees for the course Advanced Deep Learning using Python is -

    HeadAmount
    Programme feesRs. 40,000

     

    certificate availability

    Yes

    certificate providing authority

    Skill Lync

    The syllabus

    Week 1 - Artificial Neural Network (Feed Forward Neural Network)

    • Neural Network
    • Different architectures of Neural Networks
    • Importance of Neural Network
    • Hyperparameters in Neural Network
    • Different types of Gradient descent methods

    Week 2 - Activation Functions in Neural Networks

    • Conic sections
    • Hyperbolic trigonometric functions
    • Sigmoid activation function
    • Tanhx activation function
    • Relu activation function
    • Softmax activation function

    Week 3 - Deep Learning

    • Terminologies in deep learning
    • Nomenclature
    • Order of vectorized forms
    • Forward propagation derivation with 1 layer
    • Back propagation derivation with 1 layer
    • Batch size, iteration and epoch

    Week 4 - Evaluation of models

    • Underfitting
    • Overfitting
    • Lasso regularization
    • Ridge regularization
    • Elastic Net regularization

    Week 5 - Improvise the model

    • Ensemble methods
    • Sparse and convex functions
    • Bagging to avoid overfitting
    • Boosting to avoid underfitting
    • Stacking to avoid underfitting

    Week 6 - Optimizers

    • Frobenius norm regularization
    • Data augmentation
    • Early stopping
    • Adam optimizer
    • Tensorflow 2.0

    Week 7 - Convolutional Neural Network (CNN)-1

    • Basics of CNN
    • Edge detection
    • Padding
    • Stride
    • Simple CNN
    • Difference between CNN & ANN

    Week 8 - Convolutional Neural Network (CNN)-2

    • Pooling layers
    • Transfer learning
    • Examples of CNN architecture
    • Combination of different Neural network architecture
    • CNN in python

    Week 9 - Recurrent Neural Network (RNN)-1

    • RNN Model
    • Different types of RNN
    • Gradients in RNN
    • Back propagation
    • Difference between RNN & ANN

    Week 10 - Recurrent Neural Network (RNN) - Part 2

    • Gated Recurrent Unit (RNN)
    • Long short term memory (LSTM)
    • Bidirectional RNN
    • RNN Implementation in Python

    Week 11 - Basics of Natural Language Processing (NLP)

    • Stop words
    • Stemming
    • Lemmatization
    • Word2vec
    • Implementation of word2vec in python

    Week 12 - End-to-End ML Project Steps

    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics

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