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Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp (Size: 8.32 GB) (Files: 357)
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp
9 - Recurrent Neural Networks RNNs
89 - Bonus Multivariate Time Series RNN and LSTMs.mp4
88 - RNN Exercise Solutions English.vtt
86 - RNN on a Time Series Part Two English.vtt
89 - Bonus Multivariate Time Series RNN and LSTMs English.vtt
83 - RNN on a Sine Wave Creating the Model English.vtt
84 - RNN on a Sine Wave LSTMs and Forecasting English.vtt
79 - LSTMS and GRU English.vtt
79 - How to choose between LSTM vs GRU.txt
85 - RNN on a Time Series Part One English.vtt
80 - RNN Batches English.vtt
81 - RNN on a Sine Wave The Data English.vtt
82 - RNN on a Sine Wave Batch Generator English.vtt
77 - RNN Basic Theory English.vtt
78 - Vanishing Gradients English.vtt
79 - Famous Karpathy Blog Post.txt
79 - Wikipedia Article Describing LSTM Variants.txt
88 - RNN Exercise Solutions.mp4
87 - RNN Exercise English.vtt
76 - RNN Section Overview English.vtt
79 - Great Blog Post on Exploring LSTM Neurons.txt
86 - RNN on a Time Series Part Two.mp4
83 - RNN on a Sine Wave Creating the Model.mp4
84 - RNN on a Sine Wave LSTMs and Forecasting.mp4
82 - RNN on a Sine Wave Batch Generator.mp4
81 - RNN on a Sine Wave The Data.mp4
85 - RNN on a Time Series Part One.mp4
79 - LSTMS and GRU.mp4
87 - RNN Exercise.mp4
77 - RNN Basic Theory.mp4
78 - Vanishing Gradients.mp4
80 - RNN Batches.mp4
76 - RNN Section Overview.mp4
1 - Course Overview Installs and Setup
1 - AutoWelcome Message.html
3 - Course Setup and Installation English.vtt
3 - requirements.txt
3 - Course Setup and Installation.mp4
2 - Course Overview English.vtt
4 - FAQ Frequently Asked Questions.html
4 - FINAL-TF2-FILES.zip
3 - FINAL-TF2-FILES.zip
2 - Course Overview.mp4
12 - Generative Adversarial Networks
107 - Creating a GAN Part Three Model Training English.vtt
106 - Creating a GAN Part Two The Model English.vtt
104 - GANs Overview English.vtt
108 - DCGAN Deep Convolutional Generative Adversarial Networks English.vtt
105 - Creating a GAN Part One The Data English.vtt
107 - Creating a GAN Part Three Model Training.mp4
108 - DCGAN Deep Convolutional Generative Adversarial Networks.mp4
104 - GANs Overview.mp4
106 - Creating a GAN Part Two The Model.mp4
105 - Creating a GAN Part One The Data.mp4
7 - Basic Artificial Neural Networks ANNs
58 - Tensorboard English.vtt
51 - Keras Project Solutions Exploratory Data Analysis English.vtt
37 - Cost Functions and Gradient Descent English.vtt
43 - Keras Regression Code Along Exploratory Data Analysis English.vtt
54 - Keras Project Solutions Categorical Data English.vtt
48 - Keras Classification Dealing with Overfitting and Evaluation English.vtt
38 - Backpropagation English.vtt
52 - Keras Project Solutions Dealing with Missing Data English.vtt
41 - Keras Syntax Basics Part Two Creating and Training the Model English.vtt
44 - Keras Regression Code Along Exploratory Data Analysis Continued English.vtt
53 - Keras Project Solutions Dealing with Missing Data Part Two English.vtt
33 - Perceptron Model English.vtt
42 - Keras Syntax Basics Part Three Model Evaluation English.vtt
35 - Activation Functions English.vtt
36 - MultiClass Classification Considerations English.vtt
46 - Keras Regression Code Along Model Evaluation and Predictions English.vtt
40 - Keras Syntax Basics Part One Preparing the Data English.vtt
57 - Keras Project Solutions Model Evaluation English.vtt
50 - TensorFlow 20 Keras Project Notebook Overview English.vtt
45 - Keras Regression Code Along Data Preprocessing and Creating a Model English.vtt
38 - Great walkthrough for BackPropagation.txt
39 - TensorFlow vs Keras Explained English.vtt
47 - Keras Classification Code Along EDA and Preprocessing English.vtt
34 - Neural Networks English.vtt
49 - TensorFlow 20 Keras Project Options Overview English.vtt
56 - Keras Project Solutions Creating and Training a Model English.vtt
55 - Keras Project Solutions Data PreProcessing English.vtt
32 - Introduction to ANN Section English.vtt
58 - Tensorboard.mp4
51 - Keras Project Solutions Exploratory Data Analysis.mp4
43 - Keras Regression Code Along Exploratory Data Analysis.mp4
48 - Keras Classification Dealing with Overfitting and Evaluation.mp4
52 - Keras Project Solutions Dealing with Missing Data.mp4
41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4
53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4
44 - Keras Regression Code Along Exploratory Data Analysis Continued.mp4
54 - Keras Project Solutions Categorical Data.mp4
46 - Keras Regression Code Along Model Evaluation and Predictions.mp4
50 - TensorFlow 20 Keras Project Notebook Overview.mp4
57 - Keras Project Solutions Model Evaluation.mp4
42 - Keras Syntax Basics Part Three Model Evaluation.mp4
35 - Activation Functions.mp4
37 - Cost Functions and Gradient Descent.mp4
40 - Keras Syntax Basics Part One Preparing the Data.mp4
33 - Perceptron Model.mp4
47 - Keras Classification Code Along EDA and Preprocessing.mp4
38 - Backpropagation.mp4
45 - Keras Regression Code Along Data Preprocessing and Creating a Model.mp4
36 - MultiClass Classification Considerations.mp4
56 - Keras Project Solutions Creating and Training a Model.mp4
34 - Neural Networks.mp4
55 - Keras Project Solutions Data PreProcessing.mp4
39 - TensorFlow vs Keras Explained.mp4
49 - TensorFlow 20 Keras Project Options Overview.mp4
32 - Introduction to ANN Section.mp4
11 - AutoEncoders
99 - Autoencoder for Dimensionality Reduction English.vtt
100 - Autoencoder for Images Part One English.vtt
103 - Autoencoder Exercise Solutions English.vtt
98 - Autoencoder Basics English.vtt
101 - Autoencoder for Images Part Two Noise Removal English.vtt
102 - Autoencoder Exercise Overview English.vtt
97 - Introduction to Autoencoders English.vtt
99 - Autoencoder for Dimensionality Reduction.mp4
100 - Autoencoder for Images Part One.mp4
101 - Autoencoder for Images Part Two Noise Removal.mp4
103 - Autoencoder Exercise Solutions.mp4
102 - Autoencoder Exercise Overview.mp4
98 - Autoencoder Basics.mp4
97 - Introduction to Autoencoders.mp4
2 - COURSE OVERVIEW CONFIRMATION
1 - PLEASE WATCH COURSE OVERVIEW LECTURE.html
3 - NumPy Crash Course
6 - NumPy Arrays English.vtt
9 - NumPy Exercises English.vtt
7 - Numpy Index Selection English.vtt
8 - NumPy Operations English.vtt
10 - Numpy Exercises Solutions English.vtt
5 - Introduction to NumPy English.vtt
6 - NumPy Arrays.mp4
7 - Numpy Index Selection.mp4
8 - NumPy Operations.mp4
10 - Numpy Exercises Solutions.mp4
9 - NumPy Exercises.mp4
5 - Introduction to NumPy.mp4
13 - Deployment
115 - Flask Front End English.vtt
116 - Live Deployment to the Web English.vtt
110 - Creating the Model English.vtt
112 - Running a Basic Flask Application English.vtt
113 - Flask Postman API English.vtt
111 - Model Prediction Function English.vtt
114 - Flask API Using Requests Programmatically English.vtt
109 - Introduction to Deployment English.vtt
116 - Live Deployment to the Web.mp4
115 - Flask Front End.mp4
110 - Creating the Model.mp4
113 - Flask Postman API.mp4
111 - Model Prediction Function.mp4
112 - Running a Basic Flask Application.mp4
109 - Introduction to Deployment.mp4
114 - Flask API Using Requests Programmatically.mp4
6 - Machine Learning Concepts Overview
29 - Evaluating Performance Classification Error Metrics English.vtt
27 - Supervised Learning Overview English.vtt
28 - Overfitting English.vtt
30 - Evaluating Performance Regression Error Metrics English.vtt
26 - What is Machine Learning English.vtt
31 - Unsupervised Learning English.vtt
29 - Evaluating Performance Classification Error Metrics.mp4
26 - What is Machine Learning.mp4
28 - Overfitting.mp4
27 - Supervised Learning Overview.mp4
30 - Evaluating Performance Regression Error Metrics.mp4
31 - Unsupervised Learning.mp4
5 - Visualization Crash Course
23 - Seaborn Basics English.vtt
21 - Introduction to Python Visualization English.vtt
22 - Matplotlib Basics English.vtt
25 - Data Visualization Exercises Solutions English.vtt
24 - Data Visualization Exercises English.vtt
23 - Seaborn Basics.mp4
25 - Data Visualization Exercises Solutions.mp4
22 - Matplotlib Basics.mp4
24 - Data Visualization Exercises.mp4
21 - Introduction to Python Visualization.mp4
8 - Convolutional Neural Networks CNNs
65 - CNN on MNIST Part Two Creating and Training the Model English.vtt
71 - CNN on Real Image Files Part Two Data Processing English.vtt
61 - Convolutional Layers English.vtt
70 - CNN on Real Image Files Part One Reading in the Data English.vtt
72 - CNN on Real Image Files Part Three Creating the Model English.vtt
64 - CNN on MNIST Part One The Data English.vtt
60 - Image Filters and Kernels English.vtt
67 - CNN on CIFAR10 Part One The Data English.vtt
73 - CNN on Real Image Files Part Four Evaluating the Model English.vtt
75 - CNN Exercise Solutions English.vtt
68 - CNN on CIFAR10 Part Two Evaluating the Model English.vtt
69 - cellimageszip Click the blue download button or the download button on the top right you cant preview this zip.txt
62 - Pooling Layers English.vtt
66 - CNN on MNIST Part Three Model Evaluation English.vtt
69 - Downloading Data Set for Real Image Lectures English.vtt
63 - MNIST Data Set Overview English.vtt
59 - CNN Section Overview English.vtt
74 - CNN Exercise Overview English.vtt
72 - CNN on Real Image Files Part Three Creating the Model.mp4
71 - CNN on Real Image Files Part Two Data Processing.mp4
65 - CNN on MNIST Part Two Creating and Training the Model.mp4
70 - CNN on Real Image Files Part One Reading in the Data.mp4
60 - Image Filters and Kernels.mp4
67 - CNN on CIFAR10 Part One The Data.mp4
75 - CNN Exercise Solutions.mp4
64 - CNN on MNIST Part One The Data.mp4
61 - Convolutional Layers.mp4
68 - CNN on CIFAR10 Part Two Evaluating the Model.mp4
73 - CNN on Real Image Files Part Four Evaluating the Model.mp4
66 - CNN on MNIST Part Three Model Evaluation.mp4
62 - Pooling Layers.mp4
69 - Downloading Data Set for Real Image Lectures.mp4
74 - CNN Exercise Overview.mp4
63 - MNIST Data Set Overview.mp4
59 - CNN Section Overview.mp4
4 - Pandas Crash Course
17 - Pandas Operations English.vtt
13 - Pandas DataFrames Part One English.vtt
18 - Data Input and Output English.vtt
15 - Pandas Missing Data English.vtt
16 - GroupBy Operations English.vtt
14 - Pandas DataFrames Part Two English.vtt
12 - Pandas Series English.vtt
20 - Pandas Exercises Solutions English.vtt
11 - Introduction to Pandas English.vtt
19 - Pandas Exercises English.vtt
18 - Data Input and Output.mp4
16 - GroupBy Operations.mp4
20 - Pandas Exercises Solutions.mp4
17 - Pandas Operations.mp4
13 - Pandas DataFrames Part One.mp4
15 - Pandas Missing Data.mp4
12 - Pandas Series.mp4
14 - Pandas DataFrames Part Two.mp4
11 - Introduction to Pandas.mp4
19 - Pandas Exercises.mp4
10 - Natural Language Processing
93 - NLP Part Three Creating Batches English.vtt
96 - NLP Part Six Generating Text English.vtt
94 - NLP Part Four Creating the Model English.vtt
95 - NLP Part Five Training the Model English.vtt
90 - Introduction to NLP Section English.vtt
91 - NLP Part One The Data English.vtt
92 - NLP Part Two Text Processing English.vtt
93 - NLP Part Three Creating Batches.mp4
94 - NLP Part Four Creating the Model.mp4
95 - NLP Part Five Training the Model.mp4
96 - NLP Part Six Generating Text.mp4
92 - NLP Part Two Text Processing.mp4
90 - Introduction to NLP Section.mp4
91 - NLP Part One The Data.mp4
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