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Oreilly - Beginning Application Development with TensorFlow and Keras - 9781789343557
Oreilly - Beginning Application Development with TensorFlow and Keras
by Nimish Narang, Luis Capelo | Released July 2018 | ISBN: 9781789343557


Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applicationsAbout This VideoProvides detailed explanation of neural networks and deep learningMake predictions with a trained model and get to grips with TensorBoardPerfectly balances theory, hands-on demos, and assessmentsIn DetailWith this course, you'll learn how to train, evaluate, and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction to neural networks and deep learning, you'll use a sample model to explore details of deep learning and learn to select the right layers that can solve a given problem. By the end of the course, you'll build a Bitcoin application that predicts the future price, based on historic and freely available information. Show and hide more
  1. Chapter 1 : Introduction to Neural Networks and Deep Learning
    • Course Overview 00:04:02
    • Setting up your Environment 00:05:06
    • Lesson Overview 00:01:36
    • What are Neural Networks and Deep Learning? 00:06:37
    • Limitations of Deep Learning 00:05:05
    • Common Components and Operations of Neural Networks 00:06:04
    • Configuring a Deep Learning Environment 00:01:23
    • Installing Python 3 00:05:29
    • Installing TensorFlow, Keras and TensorBoard 00:09:36
    • Installing Jupyter, Notebooks, Pandas and NumPy 00:03:15
    • Installation Completion 00:04:16
    • Training a Neural Network with TensorFlow convolutional layer 00:05:07
    • Training a Neural Network with TensorFlow fully connected layer 00:02:43
    • Train a Neural Network with TensorFlow 00:06:07
    • Testing network performance with unseen data 00:03:51
    • Summary 00:01:23
  2. Chapter 2 : Model Architecture
    • Lesson Overview 00:01:04
    • Choosing the Right Model Architecture 00:08:39
    • Data Normalization 00:05:25
    • Using Keras as a TensorFlow Interface 00:02:38
    • Designing a Model 00:05:11
    • Training a Model 00:03:57
    • Making Predictions 00:02:24
    • The Keras Paradigm 00:02:10
    • From Data Preparation to Modeling 00:05:34
    • Reshaping the Time-Series Data 00:09:20
    • Reshaping the Time-Series Data 00:03:52
    • Training a Model 00:02:53
    • Training a Model 00:01:17
    • Making Predictions 00:01:53
    • Overfitting 00:01:01
    • Summary 00:00:44
  3. Chapter 3 : Model Evaluation and Optimization
    • Lesson Overview 00:01:13
    • Model Evaluation 00:10:15
    • Using TensorBoard 00:08:58
    • Implementing Model Evaluation Metrics 00:07:24
    • Evaluating Bitcoin Model 00:14:19
    • Model Predictions 00:11:55
    • Interpreting Predictions 00:05:47
    • Hyperparameter Optimization 00:09:49
    • Epochs Implementation 00:10:50
    • Regularization Strategies Implementation 00:06:48
    • Summary 00:01:27
  4. Chapter 4 : Productization
    • Lesson Overview 00:01:34
    • Handling and Dealing with New Data 00:12:15
    • Re-Training an Old Model 00:12:46
    • Training a New Model 00:03:33
    • Deploying a Model as a Web Application 00:04:20
    • Building and executing a Docker run command 00:03:49
    • Deployment and using Cryptonic 00:08:59
    • Summary 00:01:38
  5. Show and hide more

    Oreilly - Beginning Application Development with TensorFlow and Keras


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