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    • Crash Course in Deep Learning with Google TensorFlow Python

    Crash Course in Deep Learning with Google TensorFlow|Python

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    Udemy

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    Mode

    Online

    Fees

    ₹ 479 1999

    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
    ₹ 479  ₹1,999
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Introducting Tensorflow

    • Introduction to Tensorflow
    • Why Tensorflow?
    • What is tensorflow?
    • Tensorflow as an Interface
    • Tensorflow as an environment
    • Tensors
    • Computation Graph
    • Skills Checklist
    • Modules Covered
    • Installing Tensorflow
    • Tensorflow training
    • Prepare Data
    • Tensor types
    • Loss and Optimization
    • Running your first tensorflow program

    Building Neural Networks using Tensorflow

    • Back to tensors
    • Tensorflow data types
    • CPU vs GPU vs TPU
    • Tensorflow methods
    • Introduction to Neural Networks
    • Neural Network Architecture
    • Linear Regression example revisited
    • The Neuron
    • Neural Network Layers
    • The MNIST Dataset
    • Coding MNIST NN Demo
    • Summary

    Deep Learning using Tensorflow

    • Deepening the network
    • Images and Pixels
    • How humans recognise images
    • Convolutional Neural Networks
    • ConvNet Architecture
    • Overfitting and Regularization
    • Max Pooling and ReLU activations
    • Dropout
    • Strides and Zero Padding
    • Coding Deep ConvNets demo
    • Debugging Neural Networks
    • Visualising NN using Tensorflow
    • Tensorboard continued
    • Summary

    Transfer Learning using Keras and TFLearn

    • Transfer Learning Introduction
    • Google Inception Model
    • Retraining Google Inception with our own data demo
    • Predicting new images
    • Transfer Learning Summary
    • Extending Tensorflow
    • Keras Demo
    • TFLearn Demo
    • Keras vs TFLearn Comparison
    • Summary and Conclusion
    • Final Assignment

    Tensorflow Extra Resources

    • Tensorflow Interview Questions 1

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