Deep Learning with TensorFlow
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 334 MB
Genre: eLearning Video | Duration: 15 lectures (46 mins) | Language: English

Learn Artificial Neural Networks using TensorFlow and Keras

What you'll learn

    Deep Learning using Keras and TensorFlow
    Artificial Neural Networks
    How Artificial Neural Networks Work
    How Artificial Neural Networks Learn
    Loss Functions used in Artificial Neural Networks
    Activation Functions used in Artificial Neural Networks
    Cost Functions used in Artificial Neural Networks
    Optimizer Functions used in Artificial Neural Networks
    What Backpropagation is
    Different Types of Gradient Descent
    How to Choose an Activation Function
    Preparing your Data for Deep Learning Models
    Monitoring Loss Functions
    Monitoring Model Metrics
    Use of CallBacks in Deep Learning
    Fighting overfitting in TensorFlow
    Convolutional Neural Networks

Requirements

    A little Python programming experience wouldn't hurt

Description

In this course, you'll learn how to use Google TensorFlow to build your own deep learning models. We'll take you from the basics of artificial neural networks and later show you how to build them using Keras and TensorFlow. We'll walk through practical examples so that you can get a hand-on experience at working with TensorFlow and Keras.

Who this course is for:

    Individual who would like to learn about deep learning

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