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001 Introduction to the Deep Neural Networks.en.srt
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001 Introduction to the Deep Neural Networks.mp4
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002 Why Deep learning Networks (DNN).en.srt
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002 Why Deep learning Networks (DNN).mp4
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003 Feedbacks and Review.en.srt
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003 Feedbacks and Review.mp4
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004 Link to the Python codes for the projects and the data.html
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005 Introduction to Machine Learning, Learning Process and Supervised Learning.en.srt
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005 Introduction to Machine Learning, Learning Process and Supervised Learning.mp4
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006 UnSupervised Learning and Reinforcement Learning.en.srt
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006 UnSupervised Learning and Reinforcement Learning.mp4
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007 History and Future of Machine Learning.en.srt
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007 History and Future of Machine Learning.mp4
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008 Dataset, Label and Features.en.srt
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008 Dataset, Label and Features.mp4
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009 Training Data,Testing Data and Outliers.en.srt
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009 Training Data,Testing Data and Outliers.mp4
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010 Machine Learning Model.en.srt
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010 Machine Learning Model.mp4
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011 Difference between Classification and Regression.en.srt
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011 Difference between Classification and Regression.mp4
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012 Function, Parameters and Hyperparameters.mp4
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012 Function, Parameters and Hyperparameters.en.srt
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013 Model Training, Cost, Error, Loss, Risk and Accuracy.en.srt
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013 Model Training, Cost, Error, Loss, Risk and Accuracy.mp4
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014 Optimization.en.srt
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014 Optimization.mp4
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015 Overfitting, Underfitting and Just Right Optimum (Part 1).en.srt
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015 Overfitting, Underfitting and Just Right Optimum (Part 1).mp4
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016 Overfitting, Underfitting and Just Right Optimum (Part 2).en.srt
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016 Overfitting, Underfitting and Just Right Optimum (Part 2).mp4
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017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.en.srt
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017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.mp4
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018 Probability Distributions and Curse of Dimensionlity.en.srt
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018 Probability Distributions and Curse of Dimensionlity.mp4
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019 Small Sample Size problems,One Shot Learning.en.srt
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019 Small Sample Size problems,One Shot Learning.mp4
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020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.en.srt
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020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.mp4
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021 General Flow of a typical Machine Learning Project.en.srt
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021 General Flow of a typical Machine Learning Project.mp4
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022 Introduction to Python.en.srt
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022 Introduction to Python.mp4
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023 Introduction to IDE,Hello World.en.srt
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023 Introduction to IDE,Hello World.mp4
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024 Introduction to Data Type, Numbers.en.srt
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024 Introduction to Data Type, Numbers.mp4
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025 Variable and Operators (Numbers).en.srt
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025 Variable and Operators (Numbers).mp4
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026 Variables and Operators (Rational Operators and Functions).en.srt
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026 Variables and Operators (Rational Operators and Functions).mp4
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027 Variables and Operators (String).en.srt
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027 Variables and Operators (String).mp4
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028 Variables and Operators (String and print Statement).mp4
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028 Variables and Operators (String and print Statement).en.srt
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029 Lists(Indexing,Slicing-Built in Lists Functions).mp4
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029 Lists(Indexing,Slicing-Built in Lists Functions).en.srt
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030 Lists(Copying a List).en.srt
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030 Lists(Copying a List).mp4
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031 Tuples(Indexing,Slicing,Built in Tuple Functions).mp4
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031 Tuples(Indexing,Slicing,Built in Tuple Functions).en.srt
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032 Set(initialize,Built in Set Functions).mp4
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032 Set(initialize,Built in Set Functions).en.srt
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033 Dictionary.en.srt
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033 Dictionary.mp4
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034 Logical Operator,Decision Making,For Loops,While Loops,Functions.en.srt
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034 Logical Operator,Decision Making,For Loops,While Loops,Functions.mp4
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035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.mp4
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035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.en.srt
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036 Functions.mp4
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036 Functions.en.srt
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037 Calculator Project.en.srt
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037 Calculator Project.mp4
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038 Introduction to Artificial Neural Networks.en.srt
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038 Introduction to Artificial Neural Networks.mp4
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039 Neuron and Perceptron.en.srt
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039 Neuron and Perceptron.mp4
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040 Deep Neural Network Architecture.en.srt
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040 Deep Neural Network Architecture.mp4
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041 FeedForward fully Connected MLP.en.srt
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041 FeedForward fully Connected MLP.mp4
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042 Calculating Number of weights of DNN.mp4
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042 Calculating Number of weights of DNN.en.srt
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043 Number Of Neurons Vs Number Of Layers.en.srt
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043 Number Of Neurons Vs Number Of Layers.mp4
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044 Discriminative Vs Generative Learning.en.srt
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044 Discriminative Vs Generative Learning.mp4
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045 Universal Approximation Theorem.en.srt
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045 Universal Approximation Theorem.mp4
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046 Why Depth.mp4
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046 Why Depth.en.srt
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047 Decision Boundary in DNN.mp4
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047 Decision Boundary in DNN.en.srt
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048 Bias Term.en.srt
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048 Bias Term.mp4
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049 The Activation Function.en.srt
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049 The Activation Function.mp4
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050 DNN Training Parameters.en.srt
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050 DNN Training Parameters.mp4
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051 Gradient Descent.en.srt
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051 Gradient Descent.mp4
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052 Backpropagation.en.srt
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052 Backpropagation.mp4
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053 Training DNN Animantion.en.srt
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053 Training DNN Animantion.mp4
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054 Weigth Initialization.en.srt
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054 Weigth Initialization.mp4
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055 Batch MiniBatch Stocastic.en.srt
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055 Batch MiniBatch Stocastic.mp4
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056 Batch Normalization.mp4
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056 Batch Normalization.en.srt
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057 Rprop Momentum.en.srt
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057 Rprop Momentum.mp4
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058 convergence Animation.en.srt
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058 convergence Animation.mp4
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059 Drop Out Early Stopping Hyperparameters.en.srt
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059 Drop Out Early Stopping Hyperparameters.mp4
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060 Python Packages for Data Science.en.srt
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060 Python Packages for Data Science.mp4
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061 NumPy Pandas and Matplotlib (Part 1).en.srt
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061 NumPy Pandas and Matplotlib (Part 1).mp4
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062 NumPy Pandas and Matplotlib (Part 2).en.srt
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062 NumPy Pandas and Matplotlib (Part 2).mp4
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063 NumPy Pandas and Matplotlib (Part 3).en.srt
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063 NumPy Pandas and Matplotlib (Part 3).mp4
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064 NumPy Pandas and Matplotlib (Part 4).en.srt
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064 NumPy Pandas and Matplotlib (Part 4).mp4
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065 NumPy Pandas and Matplotlib (Part 5).en.srt
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065 NumPy Pandas and Matplotlib (Part 5).mp4
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066 NumPy Pandas and Matplotlib (Part 6).en.srt
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066 NumPy Pandas and Matplotlib (Part 6).mp4
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067 DataSet Preprocessing.en.srt
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067 DataSet Preprocessing.mp4
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068 TensorFlow for classification.en.srt
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068 TensorFlow for classification.mp4
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069 COVID19 Data Analysis.mp4
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069 COVID19 Data Analysis.en.srt
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070 COVID19 Regression with TensorFlow.en.srt
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070 COVID19 Regression with TensorFlow.mp4
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071 THANK YOU Bonus Video.en.srt
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071 THANK YOU Bonus Video.mp4
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072 Understanding Gradient Decsent.en.srt
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072 Understanding Gradient Decsent.mp4
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073 Understanding Gradient Decsent.en.srt
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073 Understanding Gradient Decsent.mp4
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TutsNode.com.txt
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[TGx]Downloaded from torrentgalaxy.to .txt
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