Browse Finbarr Timbers's Lessons

showing 8 lessons...

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  Visualize Training Results With TensorFlow summary and TensorBoard

  Visualize the training results of running a neural net model with TensorFlow summary and TensorBoard

    4:09
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  Add Layers To A Neural Network In TensorFlow

  Add Multiple Layers to a Neural Network in TensorFlow by working through an example where you add multiple ReLU layers and one convolutional layer

    4:19
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  Save The State Of A TensorFlow Model With Checkpointing

  Save The State Of A TensorFlow Model With Checkpointing Using The TensorFlow Saver Variable To Save The Session Into TensorFlow ckpt Files.

    3:27
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  Add Metrics Reporting To Improve Your TensorFlow Neural Network Model

  Add Metrics Reporting to Improve Your TensorFlow Neural Network Model So You Can Monitor How Accuracy And Other Measures Evolve As You Change Your Model.

    4:38
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  Train A One Layer Feed Forward Neural Network in TensorFlow With ReLU Activation

  Train A One Layer Feed Forward Neural Network in TensorFlow With ReLU Activation, Softmax Cross Entropy with Logits, and the Gradient Descent Optimizer

    3:00
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  Create A One Layer Feed Forward Neural Network In TensorFlow With ReLU Activation

  Create a one layer feed forward neural network in TensorFlow with ReLU activation and understand the context of the shapes of the Tensors

    2:04
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  Load The MNIST Data Set in TensorFlow So That It Is In One Hot Encoded Format

  Import the MNIST data set from the Tensorflow Examples Tutorial Data Repository and encode it in one hot encoded format.

    2:29
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  Tensor to NumPy: NumPy Array To Tensorflow Tensor And Back

  Tensor to NumPy - Convert a NumPy array to a Tensorflow Tensor as well as convert a TensorFlow Tensor to a NumPy array

    1:30