Deep Learning ANN Artificial Neural Networks with Python | 80A8B03237776D9891132F6FFC5F99D92E20FF76

Deep Learning ANN Artificial Neural Networks with Python

Name	Deep Learning ANN Artificial Neural Networks with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.8 GB
Total Files	218
Last Seen	2025-05-22 23:42
Hash	80A8B03237776D9891132F6FFC5F99D92E20FF76

/.../06 Implementation of DNN for COVID 19 Analysis/
070 COVID19 Regression with TensorFlow.mp4	192.1 MB
070 COVID19 Regression with TensorFlow.en.srt	22.5 KB
069 COVID19 Data Analysis.en.srt	19.2 KB
071 THANK YOU Bonus Video.en.srt	2.7 KB
069 COVID19 Data Analysis.mp4	134.1 MB
071 THANK YOU Bonus Video.mp4	31.2 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../03 Introduction to Python/
029 Lists(Indexing,Slicing-Built in Lists Functions).en.srt	27.4 KB
035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.en.srt	19.2 KB
037 Calculator Project.en.srt	18.8 KB
026 Variables and Operators (Rational Operators and Functions).en.srt	15.2 KB
036 Functions.en.srt	12.4 KB
025 Variable and Operators (Numbers).en.srt	10.5 KB
023 Introduction to IDE,Hello World.en.srt	10.1 KB
034 Logical Operator,Decision Making,For Loops,While Loops,Functions.en.srt	9.9 KB
027 Variables and Operators (String).en.srt	9.6 KB
028 Variables and Operators (String and print Statement).en.srt	9.5 KB
024 Introduction to Data Type, Numbers.en.srt	7.1 KB
033 Dictionary.en.srt	5.7 KB
031 Tuples(Indexing,Slicing,Built in Tuple Functions).en.srt	5.4 KB
032 Set(initialize,Built in Set Functions).en.srt	5.2 KB
030 Lists(Copying a List).en.srt	4.9 KB
022 Introduction to Python.en.srt	4.4 KB
029 Lists(Indexing,Slicing-Built in Lists Functions).mp4	142.7 MB
037 Calculator Project.mp4	105.3 MB
035 Logical Operator,Decision Making,For Loops,While Loops,List Comprehension.mp4	78.0 MB
026 Variables and Operators (Rational Operators and Functions).mp4	64.7 MB
036 Functions.mp4	50.5 MB
028 Variables and Operators (String and print Statement).mp4	49.6 MB
027 Variables and Operators (String).mp4	47.6 MB
025 Variable and Operators (Numbers).mp4	43.2 MB
023 Introduction to IDE,Hello World.mp4	42.3 MB
024 Introduction to Data Type, Numbers.mp4	32.8 MB
034 Logical Operator,Decision Making,For Loops,While Loops,Functions.mp4	32.0 MB
032 Set(initialize,Built in Set Functions).mp4	30.8 MB
030 Lists(Copying a List).mp4	28.9 MB
033 Dictionary.mp4	27.9 MB
031 Tuples(Indexing,Slicing,Built in Tuple Functions).mp4	27.3 MB
022 Introduction to Python.mp4	13.8 MB
/.../05 Python for Data Science/
068 TensorFlow for classification.en.srt	24.0 KB
067 DataSet Preprocessing.en.srt	19.2 KB
064 NumPy Pandas and Matplotlib (Part 4).en.srt	16.3 KB
065 NumPy Pandas and Matplotlib (Part 5).en.srt	14.9 KB
063 NumPy Pandas and Matplotlib (Part 3).en.srt	13.1 KB
066 NumPy Pandas and Matplotlib (Part 6).en.srt	12.7 KB
061 NumPy Pandas and Matplotlib (Part 1).en.srt	10.3 KB
060 Python Packages for Data Science.en.srt	8.6 KB
062 NumPy Pandas and Matplotlib (Part 2).en.srt	8.0 KB
068 TensorFlow for classification.mp4	163.9 MB
064 NumPy Pandas and Matplotlib (Part 4).mp4	99.2 MB
067 DataSet Preprocessing.mp4	96.4 MB
065 NumPy Pandas and Matplotlib (Part 5).mp4	85.6 MB
063 NumPy Pandas and Matplotlib (Part 3).mp4	75.5 MB
060 Python Packages for Data Science.mp4	70.1 MB
066 NumPy Pandas and Matplotlib (Part 6).mp4	64.9 MB
061 NumPy Pandas and Matplotlib (Part 1).mp4	46.9 MB
062 NumPy Pandas and Matplotlib (Part 2).mp4	44.5 MB
/.../07 Optional Course for Maths behind DNN/
073 Understanding Gradient Decsent.en.srt	22.1 KB
072 Understanding Gradient Decsent.en.srt	10.1 KB
073 Understanding Gradient Decsent.mp4	112.4 MB
072 Understanding Gradient Decsent.mp4	39.9 MB
/.../01 Introduction to the Course/
003 Feedbacks and Review.en.srt	2.6 KB
004 Link to the Python codes for the projects and the data.html	2.1 KB
001 Introduction to the Deep Neural Networks.en.srt	14.0 KB
002 Why Deep learning Networks (DNN).en.srt	8.9 KB
001 Introduction to the Deep Neural Networks.mp4	56.0 MB
003 Feedbacks and Review.mp4	30.1 MB
002 Why Deep learning Networks (DNN).mp4	25.2 MB
/.../02 Introduction to Machine Learning/
005 Introduction to Machine Learning, Learning Process and Supervised Learning.en.srt	19.4 KB
008 Dataset, Label and Features.en.srt	18.3 KB
020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.en.srt	16.7 KB
007 History and Future of Machine Learning.en.srt	16.1 KB
017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.en.srt	13.0 KB
013 Model Training, Cost, Error, Loss, Risk and Accuracy.en.srt	12.7 KB
016 Overfitting, Underfitting and Just Right Optimum (Part 2).en.srt	2.6 KB
006 UnSupervised Learning and Reinforcement Learning.en.srt	10.7 KB
012 Function, Parameters and Hyperparameters.en.srt	10.1 KB
018 Probability Distributions and Curse of Dimensionlity.en.srt	9.5 KB
011 Difference between Classification and Regression.en.srt	9.3 KB
014 Optimization.en.srt	9.1 KB
010 Machine Learning Model.en.srt	8.4 KB
021 General Flow of a typical Machine Learning Project.en.srt	8.4 KB
009 Training Data,Testing Data and Outliers.en.srt	8.2 KB
019 Small Sample Size problems,One Shot Learning.en.srt	7.2 KB
015 Overfitting, Underfitting and Just Right Optimum (Part 1).en.srt	6.2 KB
005 Introduction to Machine Learning, Learning Process and Supervised Learning.mp4	159.1 MB
007 History and Future of Machine Learning.mp4	129.0 MB
020 Importance of Data in Machine Learning,Data Encoding and Preprocessing.mp4	118.1 MB
008 Dataset, Label and Features.mp4	115.1 MB
017 Validation and Cross Validation,Generalization,Data Snooping,Validation Set.mp4	99.0 MB
018 Probability Distributions and Curse of Dimensionlity.mp4	98.4 MB
013 Model Training, Cost, Error, Loss, Risk and Accuracy.mp4	88.6 MB
012 Function, Parameters and Hyperparameters.mp4	85.8 MB
010 Machine Learning Model.mp4	73.7 MB
014 Optimization.mp4	65.7 MB
011 Difference between Classification and Regression.mp4	64.0 MB
006 UnSupervised Learning and Reinforcement Learning.mp4	63.8 MB
009 Training Data,Testing Data and Outliers.mp4	53.6 MB
015 Overfitting, Underfitting and Just Right Optimum (Part 1).mp4	45.9 MB
019 Small Sample Size problems,One Shot Learning.mp4	41.0 MB
021 General Flow of a typical Machine Learning Project.mp4	40.2 MB
016 Overfitting, Underfitting and Just Right Optimum (Part 2).mp4	21.8 MB
/.../04 Deep Neural Networks and Deep Learning Basics/
059 Drop Out Early Stopping Hyperparameters.en.srt	17.2 KB
057 Rprop Momentum.en.srt	16.0 KB
052 Backpropagation.en.srt	14.4 KB
050 DNN Training Parameters.en.srt	13.1 KB
039 Neuron and Perceptron.en.srt	13.1 KB
054 Weigth Initialization.en.srt	12.2 KB
043 Number Of Neurons Vs Number Of Layers.en.srt	11.1 KB
038 Introduction to Artificial Neural Networks.en.srt	11.0 KB
055 Batch MiniBatch Stocastic.en.srt	10.8 KB
051 Gradient Descent.en.srt	9.9 KB
040 Deep Neural Network Architecture.en.srt	9.6 KB
049 The Activation Function.en.srt	9.5 KB
045 Universal Approximation Theorem.en.srt	7.7 KB
042 Calculating Number of weights of DNN.en.srt	7.5 KB
056 Batch Normalization.en.srt	6.8 KB
047 Decision Boundary in DNN.en.srt	6.7 KB
048 Bias Term.en.srt	6.4 KB
044 Discriminative Vs Generative Learning.en.srt	6.2 KB
041 FeedForward fully Connected MLP.en.srt	5.7 KB
046 Why Depth.en.srt	5.3 KB
058 convergence Animation.en.srt	4.4 KB
053 Training DNN Animantion.en.srt	4.4 KB
038 Introduction to Artificial Neural Networks.mp4	93.4 MB
057 Rprop Momentum.mp4	93.2 MB
059 Drop Out Early Stopping Hyperparameters.mp4	84.0 MB
039 Neuron and Perceptron.mp4	79.4 MB
054 Weigth Initialization.mp4	68.9 MB
052 Backpropagation.mp4	61.6 MB
055 Batch MiniBatch Stocastic.mp4	59.2 MB
050 DNN Training Parameters.mp4	58.5 MB
045 Universal Approximation Theorem.mp4	56.0 MB
053 Training DNN Animantion.mp4	51.3 MB
058 convergence Animation.mp4	50.2 MB
048 Bias Term.mp4	46.6 MB
040 Deep Neural Network Architecture.mp4	45.2 MB
051 Gradient Descent.mp4	44.8 MB
044 Discriminative Vs Generative Learning.mp4	43.1 MB
049 The Activation Function.mp4	42.0 MB
047 Decision Boundary in DNN.mp4	40.2 MB
042 Calculating Number of weights of DNN.mp4	37.4 MB
043 Number Of Neurons Vs Number Of Layers.mp4	37.2 MB
056 Batch Normalization.mp4	37.1 MB
041 FeedForward fully Connected MLP.mp4	28.2 MB
046 Why Depth.mp4	25.1 MB
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Total files 218