Deep Learning (from basics) (10/2020)

[mitsumi]

Deep Learning (from basics)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.31 GB
Genre: eLearning Video | Duration: 29 lectures (9 hour, 24 mins) | Language: English

 Deep Learning with Python/ Keras

What you'll learn

    The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras.
    As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems

Requirements

    Python language

Description

Following topics are covered as part of the course

    Explore building blocks of neural networks

        Data representation, Tensor, Back propagation

    Keras

        Dataset, Applying Keras to cases studies, over fitting / under fitting

    Artificial Neural Networks (ANN)

        Activation functions

        Loss functions

        Gradient Descent

        Optimizer

    Image Processing

        Convnets (CNN), hands-on with CNN

    Text and Sequences

        Text data, Language Processing

        Recurrent Neural Network (RNN)

        LSTM

        Bidirectional RNN

    Gradients and Back Propagation - Mathematics

        Gradient Descent

        Mathematics

    Image Processing  / CV - Advanced

        Image Data Generator

        Image Data Generator - Data Augmentation

        Pre-trained network

    Functional API

        Intro to Functional API

        Multi Input Multi Output Model

The videos are concepts and hands-on implementation of topics

Who this course is for:

    Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning

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