TensorFlow: Deep Neural Networks & Image Classification Using Estimators

TensorFlow
  • 15 Videos | 1h 17m 50s
  • Includes Assessment
  • Earns a Badge
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Discover how to apply deep learning techniques to images, and how to leverage TensorFlow estimators in building image classification models.

WHAT YOU WILL LEARN

  • distinguish between traditional machine learning and deep learning
    recognize the architecture and design of a neural network
    identify what is meant by model weights or model parameters
    identify the precise operations performed by a neuron
    recognize gradient descent as the training process in a neural network
    distinguish between the operations in the forward and backward passes during training
    describe how images are fed into a machine learning algorithm
  • configure TensorFlow and use Jupyter notebooks
    load and explore the MNIST dataset for image classification
    train a deep neural network estimator for image classification
    use an estimator to predict image labels
    describe why deep neural networks don't work well with images
    "define how neural networks work "
    recall basics of image classification using neural networks

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 52s
    UP NEXT
  • Playable
    2. 
    Neural Networks and Deep Learning
    5m 38s
  • Locked
    3. 
    Basic Structure of a Neural Network
    4m 45s
  • Locked
    4. 
    The Mathematical Function Applied By a Neuron
    3m 28s
  • Locked
    5. 
    Linear Transformation and Activation Functions
    6m 51s
  • Locked
    6. 
    Training a Neural Network Using Gradient Descent
    5m 44s
  • Locked
    7. 
    Forward Pass and Backward Pass
    3m 28s
  • Locked
    8. 
    Image Representations in Machine Learning
    6m 50s
  • Locked
    9. 
    Set Up TensorFlow and Use Jupyter Notebooks
    3m 17s
  • Locked
    10. 
    The MNIST Dataset
    5m 21s
  • Locked
    11. 
    Training an Estimator for Image Classification
    7m 27s
  • Locked
    12. 
    Predicting Image Labels
    4m 30s
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    13. 
    Drawbacks of Deep Neural Networks for Images
    2m 24s
  • Locked
    14. 
    Exercise: Working with Neural Networks
    6m 27s
  • Locked
    15. 
    Exercise: Working with Image Classification
    3m 49s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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