- 【影视】 Packt - Tensorflow Deep Learning Solutions for Images
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video4_4.mp4 16.9 MB
video3_8.mp4 15.6 MB
video5_1.mp4 14.8 MB
video5_2.mp4 14.5 MB
video1_2.mp4 14.1 MB
video1_5.mp4 11.3 MB
video3_3.mp4 11.2 MB
video3_6.mp4 9.7 MB
video2_2.mp4 9.7 MB
video4_3.mp4 9.4 MB
video2_3.mp4 8.9 MB
video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
video4_2.mp4 8.0 MB
video3_5.mp4 7.8 MB
video1_1.mp4 7.7 MB
video4_1.mp4 7.5 MB
video3_4.mp4 6.9 MB
video2_4.mp4 6.7 MB
video5_3.mp4 6.6 MB
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files.zip 383.5 MB
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00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00024 Working_with_a_Genetic_Algorithm.mp4 18.1 MB
00023 Visualizing_Graphs_in_TensorBoard.mp4 16.6 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00025 Clustering_Using_K-Means.mp4 13.0 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 MB
00001 The_Course_Overview.mp4 9.9 MB
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- 【影视】 Learning TensorFlow with JavaScript
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3.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
3.2. TensorFlow Basics/11.Model introduction.mp4 14.2 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.9 MB
3.2. TensorFlow Basics/12.Layers introduction.mp4 12.6 MB
4.3. Exploration of a Full Project/14.Exploration of the dataset.mp4 12.1 MB
3.2. TensorFlow Basics/09.Tensors and variables.mp4 12.0 MB
4.3. Exploration of a Full Project/16.Exploration of training the model.mp4 11.8 MB
4.3. Exploration of a Full Project/17.See the live example.mp4 11.6 MB
5.4. Advanced Subjects/18.Use Python-based models in JS.mp4 10.8 MB
2.1. Introduction and Setup/06.A TensorFlow demo.mp4 9.7 MB
5.4. Advanced Subjects/19.Convert SavedModel to web.mp4 7.8 MB
4.3. Exploration of a Full Project/15.Exploration of the models and layers.mp4 7.8 MB
3.2. TensorFlow Basics/08.Your first tensor.mp4 7.0 MB
1.Introduction/01.Learning TensorFlow.mp4 5.6 MB
4.3. Exploration of a Full Project/13.Import example project.mp4 5.3 MB
2.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
2.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
6.Conclusion/20.Next steps.mp4 1.9 MB
2.1. Introduction and Setup/04.Differences between versions.mp4 1.8 MB
1.Introduction/02.Course prerequisites.mp4 1.3 MB
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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2022 Zero to Mastery 29.1 GB
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[ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip 2.6 GB
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- 【影视】 Packt Hands-on Reinforcement Learning with TensorFlow
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
05.Getting Production-Ready with TensorFlow/0503.Debugging and Some Nice Practices in TensorFlow.mp4 71.7 MB
05.Getting Production-Ready with TensorFlow/0504.TensorFlow on Multiple Devices.mp4 58.2 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
01.Understanding the Reinforcement Learning Framework/0101.The Course Overview.mp4 17.9 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
05.Getting Production-Ready with TensorFlow/0505.Next Steps.mp4 15.9 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
1.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB
1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB
2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
1.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB
3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
3.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB
3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB
4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
3.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
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GetFreeCourses.Co-Udemy-TensorFlow Developer Certificate in 2021 Zero to Mastery 19.9 GB
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~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.mp4 95.4 MB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.mp4 65.4 MB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.mp4 62.8 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.mp4 62.5 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4 62.3 MB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.mp4 61.1 MB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.mp4 50.5 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.mp4 30.9 MB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.mp4 29.1 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4.vtx 545.8 kB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.en.srt 15.7 kB
~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.en.srt 15.2 kB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.en.srt 15.0 kB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.en.srt 11.8 kB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.en.srt 11.0 kB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.en.srt 9.2 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.en.srt 9.1 kB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.en.srt 8.1 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.en.srt 5.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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[Udemy] TensorFlow Developer Certificate in 2021 Zero to Mastery [Updated 7-2021] [En] 36.6 GB
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[ FreeCourseWeb.com ] Udemy - Object Detection Web App with TensorFlow, OpenCV and Flask.zip 375.3 MB
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video4_4.mp4 16.9 MB
video3_8.mp4 15.6 MB
video5_1.mp4 14.8 MB
video5_2.mp4 14.5 MB
video1_2.mp4 14.1 MB
video1_5.mp4 11.3 MB
video3_3.mp4 11.2 MB
video3_6.mp4 9.7 MB
video2_2.mp4 9.7 MB
video4_3.mp4 9.4 MB
video2_3.mp4 8.9 MB
video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
video4_2.mp4 8.0 MB
video3_5.mp4 7.8 MB
video1_1.mp4 7.7 MB
video4_1.mp4 7.5 MB
video3_4.mp4 6.9 MB
video2_4.mp4 6.7 MB
video5_3.mp4 6.6 MB
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[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/3. Neural Style Transfer with VGG19 - 3.mp4 128.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/4. Neural Style Transfer with VGG19 - 4.mp4 100.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/29. Recurrent Neural Networks - 4.mp4 98.8 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/10. Linear Regression.mp4 97.6 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/11. Logistic Regression.mp4 91.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/21. CNN and Cifar10 - 3.mp4 84.8 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/18. Convolutional Neural Networks - 6.mp4 84.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/33. Recurrent Neural Networks - 8.mp4 82.7 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/12. Handwriting Recognition with MNIST.mp4 82.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/19. CNN and Cifar10 - 1.mp4 75.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/23. CNN and Cifar10 - 5.mp4 73.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/22. CNN and Cifar10 - 4.mp4 72.2 MB
[TutsNode.com] - Neural Networks with Tensorflow/2. In Progress/2. Neural Style Transfer with VGG19 - 2.mp4 70.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/32. Recurrent Neural Networks - 7.mp4 68.0 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/31. Recurrent Neural Networks - 6.mp4 66.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/28. Recurrent Neural Networks - 3.mp4 64.7 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/24. Tactics to Improve the Model.mp4 60.3 MB
[TutsNode.com] - Neural Networks with Tensorflow/1. Lessons/8. Computational Graph, Ops, Sessions, Placeholders.mp4 60.1 MB
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 192.4 MB
10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json 190.7 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 176.0 MB
7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv 150.8 MB
7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 128.9 MB
5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 112.5 MB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 105.9 MB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 104.4 MB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 103.4 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
6. Some Basic Concepts/1. What is Machine Learning.mp4 95.8 MB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 95.7 MB
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[ DevCourseWeb.com ] Udemy - Learn Object Detection with OpenCV and TensorFlow.zip 814.1 MB
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Code/Section 8/imagenet-vgg-verydeep-19.mat 576.0 MB
7.5-Writing Music a la Bach - Building Machine Learning Systems with TensorFlow [Video].mp4 31.9 MB
1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4 31.0 MB
Code/Section 6/data/cifar-10-batches-bin/data_batch_1.bin 30.7 MB
Code/Section 6/data/cifar-10-batches-bin/test_batch.bin 30.7 MB
4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 26.3 MB
1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4 20.6 MB
3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 20.1 MB
1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4 20.0 MB
3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 19.7 MB
2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 16.8 MB
1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4 16.5 MB
2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4 16.1 MB
6.2-Applying Convolution in TensorFlow - Building Machine Learning Systems with TensorFlow [Video].mp4 15.9 MB
1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4 15.0 MB
5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4 14.7 MB
6.6-MNIST Digit Classification - Building Machine Learning Systems with TensorFlow [Video].mp4 14.3 MB
5.3-Second Project – Modeling Cars Fuel Efficiency with Non-Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 14.2 MB
1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4 13.2 MB
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery
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收录时间:2023-11-02
文档个数:1
文档大小:35.1 GB
最近下载:2025-02-17
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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery 35.1 GB
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- 【影视】 [FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2020-04-02
文档个数:247
文档大小:7.5 GB
最近下载:2025-02-18
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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