Free online courseDeep Learning With PyTorch

Course content

• Video class: Intro To Deep Learning With PyTorch - Deep Learning with Pytorch 1

  17m

• Exercise: In Google Colab, which setting should you enable to speed up PyTorch model training?

• Video class: Tensors With PyTorch - Deep Learning with PyTorch 2

  10m

• Exercise: What is the default data type for a new PyTorch tensor?

• Video class: Tensor Operations - Reshape and Slice - Deep Learning with PyTorch 3

  11m

• Exercise: What happens when you modify the original tensor after creating a reshaped tensor from it in PyTorch?

• Video class: Tensor Math Operations - Deep Learning with PyTorch 4

  12m

• Exercise: Identify the in-place tensor addition in PyTorch

• Video class: Create a Basic Neural Network Model - Deep Learning with PyTorch 5

  15m

• Exercise: Which activation function is applied between the linear layers in the models forward pass?

• Video class: Load Data and Train Neural Network Model - Deep Learning with PyTorch 6

  22m

• Exercise: Choosing tensor dtypes for features and labels in a PyTorch multi-class classifier

• Video class: Evaluate Test Data Set On Network - Deep Learning with PyTorch 7

  11m

• Exercise: What is the primary purpose of torch.no_grad during model evaluation on a test set in PyTorch?

• Video class: Evaluate NEW Data On The Network - Deep Learning with PyTorch 8

  05m

• Exercise: How do you perform inference on a new Iris sample with a trained PyTorch model?

• Video class: Save and Load our Neural Network Model - Deep Learning with PyTorch 9

  04m

• Exercise: Saving and loading a PyTorch model correctly

• Video class: Convolutional Neural Network Intro - Deep Learning with PyTorch 10

  07m

• Exercise: For classifying digits with a CNN in PyTorch using the MNIST dataset, how many images are in the training and test sets respectively?

• Video class: Image Filter / Image Kernel Overview - Deep Learning with PyTorch 11

  10m

• Exercise: How does a 3x3 kernel compute an output during CNN convolution?

• Video class: Convolutional Layer and RGB - Deep Learning with PyTorch 12

  10m

• Exercise: Why prefer a convolutional neural network over a fully connected neural network for image tasks in PyTorch

• Video class: Pooling Layer in Convolutional Neural Network - Deep Learning with PyTorch 13

  06m

• Exercise: What is the main role of a pooling layer in a CNN built with PyTorch

• Video class: Import MNIST Images - Deep Learning with PyTorch 14

  11m

• Exercise: Why convert MNIST images to a 4D tensor before training a CNN in PyTorch?

• Video class: Convolutional and Pooling Layers - Deep Learning with PyTorch 15

  18m

• Exercise: After two 3x3 stride 1 conv layers without padding and two 2x2 max pools, what is the final tensor shape from a single 28x28 image formatted as 1x1x28x28?

• Video class: Convolutional Neural Network Model - Deep Learning with PyTorch 16

  12m

• Exercise: In the CNN defined with PyTorch, what tensor size is flattened before the first fully connected layer?

• Video class: Train and Test CNN Model - Deep Learning with PyTorch 17

  16m

• Exercise: Preventing gradient computation during testing in PyTorch

• Video class: Graph CNN Results - Deep Learning with PyTorch 18

  08m

• Exercise: Evaluate CNN test accuracy in PyTorch

• Video class: Send New Image Thru The Model - Deep Learning with PyTorch 19

  05m

• Exercise: How do you run a single MNIST image through a trained PyTorch CNN to get the predicted class?