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    Deep Learning with Python Training

    BY
    Mindmajix Technologies

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    Mode

    Online

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays, Weekends

    Course and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Mindmajix Technologies

    The syllabus

    Library used in Deep Learning

    • Tensorflow
    • Keras

    Artificial Neural Networks

    • ANN Intuition
    • The Neuron
    • The Activation Function
    • How do Neural Networks work?
    • How do Neural Networks learn?
    • Gradient Descent
    • Stochastic Gradient Descent
    • Back propagation
    • Building an ANN
    • Installing Keras
    • Evaluating the ANN
    • Improving the ANN
    • Tuning the ANN

    Image Preprocessing

    • Matplotlib
    • Pillow
    • OpenCV

    Convolutional Neural Networks

    • CNN Intuition
    • What You'll Need for CNN
    • What are convolutional neural networks?
    • Step 1(a) - Convolution Operation
    • Step 1(b) - ReLU Layer
    • Step 2 - Pooling
    • Step 3 - Flattening
    • Step 4 - Full Connection
    • Softmax & Cross-Entropy
    • Building a CNN
    • Evaluating CNN
    • Improving CNN
    • Tuning the CNN

    Recurrent Neural Networks

    • RNN Intuition
    • The idea behind Recurrent Neural Networks
    • The Vanishing Gradient Problem
    • LSTMs
    • Practical intuition
    • EXTRA: LSTM Variations
    • Building a RNN
    • Evaluating RNN
    • Improving RNN
    • Tuning RNN

    Self Organizing Maps

    • SOMs Intuition
    • How do Self-Organizing Maps Work?
    • Why revisit K-Means?
    • K-Means Clustering (Refresher)
    • How do Self-Organizing Maps Learn?
    • Reading an Advanced SOM?

    Natural Language Processing (NLP with Implementation)

    • Tokenization
    • Stemming
    • Lemmatization
    • POS TagName
    • Entity Recognition

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