Convolutional Neural Networks (CNNs) Advanced Techniques Video

Convolutional Neural Networks (CNNs) Advanced Techniques Video

$9.99

Convolutional Neural Networks (CNNs) Advanced Techniques Video

Objectives:

  1. Apply same convolutions, padding, and strides. Same convolutions are those where the dimensions of the output image are the same as that of the input image. Same convolutions are achieved using padding.
  2. Implement same convolutions, padding, and strides in Python using the numpy, matplotlib, and cv2 libraries.
  3. Implement pooling layers.
  4. Practice working with max-pooling and average-pooling layers.
  5. Implement pooling layers.
  6. Implement pooling layers in Python using the numpy, matplotlib, and cv2 libraries.
  7. Apply Convolutional Neural Networks (CNN) dropouts to prevent overfitting.
  8. Implement a fashion MNIST (Modified National Institute of Standards and Technology) using Convolutional Neural Networks (CNNs) in Keras.

Instructor: Advait Jayant

Length: 1 hour

Access period: For one year starting from purchase date

SKU: 9781634627801b - Need Help? Contact Us Leave Feedback

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