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Packt Master Deep Learning with TensorFlow 2.0 in Python\01.Welcome! Course introduction\0101.Meet your instructors and why you should study machine learning.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\01.Welcome! Course introduction\0102.What does the course cover.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0201.Introduction to neural networks.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0202.Training the model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0203.Types of machine learning.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0204.The linear model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0205.The linear model. Multiple inputs.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0206.The linear model. Multiple inputs and multiple outputs.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0207.Graphical representation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0208.The objective function.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0209.L2-norm loss.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0210.Cross-entropy loss.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0211.One parameter gradient descent.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\02.Introduction to neural networks\0212.N-parameter gradient descent.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0301.Setting up the environment - An introduction - Do not skip, please!.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0302.Why Python and why Jupyter.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0303.Installing Anaconda.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0304.The Jupyter dashboard - part 1.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0305.The Jupyter dashboard - part 2.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\03.Setting up the working environment\0306.Installing TensorFlow 2.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\04.Minimal example - your first machine learning algorithm\0401.Minimal example - part 1.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\04.Minimal example - your first machine learning algorithm\0402.Minimal example - part 2.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\04.Minimal example - your first machine learning algorithm\0403.Minimal example - part 3.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\04.Minimal example - your first machine learning algorithm\0404.Minimal example - part 4.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0501.TensorFlow outline.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0502.TensorFlow 2 intro.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0503.A Note on Coding in TensorFlow.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0504.Types of file formats in TensorFlow and data handling.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0505.Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0506.Interpreting the result and extracting the weights and bias.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\05.TensorFlow - An introduction\0507.Customizing your model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0601.Layers.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0602.What is a deep net.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0603.Understanding deep nets in depth.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0604.Why do we need non-linearities.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0605.Activation functions.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0606.Softmax activation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0607.Backpropagation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\06.Going deeper Introduction to deep neural networks\0608.Backpropagation - visual representation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0701.Underfitting and overfitting.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0702.Underfitting and overfitting - classification.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0703.Training and validation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0704.Training, validation, and test.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0705.N-fold cross validation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\07.Overfitting\0706.Early stopping.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\08.Initialization\0801.Initialization - Introduction.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\08.Initialization\0802.Types of simple initializations.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\08.Initialization\0803.Xavier initialization.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0901.Stochastic gradient descent.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0902.Gradient descent pitfalls.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0903.Momentum.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0904.Learning rate schedules.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0905.Learning rate schedules. A picture.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0906.Adaptive learning rate schedules.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\09.Gradient descent and learning rates\0907.Adaptive moment estimation.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\10.Preprocessing\1001.Preprocessing introduction.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\10.Preprocessing\1002.Basic preprocessing.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\10.Preprocessing\1003.Standardization.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\10.Preprocessing\1004.Dealing with categorical data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\10.Preprocessing\1005.One-hot and binary encoding.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1101.The dataset.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1102.How to tackle the MNIST.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1103.Importing the relevant packages and load the data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1104.Preprocess the data - create a validation dataset and scale the data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1105.Preprocess the data - shuffle and batch the data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1106.Outline the model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1107.Select the loss and the optimizer.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1108.Learning.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\11.The MNIST example\1109.Testing the model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1201.Exploring the dataset and identifying predictors.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1202.Outlining the business case solution.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1203.Balancing the dataset.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1204.Preprocessing the data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1205.Load the preprocessed data.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1206.Learning and interpreting the result.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1207.Setting an early stopping mechanism.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\12.Business case\1208.Testing the model.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\13.Conclusion\1301.See how much you have learned.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\13.Conclusion\1302.What's further out there in the machine and deep learning world.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\13.Conclusion\1303.An overview of CNNs.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\13.Conclusion\1304.An overview of RNNs.mp4
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Packt Master Deep Learning with TensorFlow 2.0 in Python\13.Conclusion\1305.An overview of non-NN approaches.mp4
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