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【影视】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

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11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB

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files.zip 383.5 MB
Умные мобильные проекты с TensorFlow.pdf 21.9 MB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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【压缩文件】 Master Deep Learning with TensorFlow in Python

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Master Deep Learning with TensorFlow in Python.zip 1.4 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【压缩文件】 DeepLearning.AI TensorFlow Developer Professional Certificate

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[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/04_multiclass-classifications/01_multiclass-classifications/03_introducing-the-rock-paper-scissors-dataset_rps.zip 200.7 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Natural Language Processing in TensorFlow/02_word-embeddings/01_word-embeddings/09_notebook-for-lesson-1.mp4 33.6 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/04_multiclass-classifications/01_multiclass-classifications/03_introducing-the-rock-paper-scissors-dataset_rps-test-set.zip 29.5 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/01_exploring-a-larger-dataset/01_introduction/01_introduction-a-conversation-with-andrew-ng.mp4 27.3 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Sequences, Time Series and Prediction/03_recurrent-neural-networks-for-time-series/01_recurrent-neural-networks-for-time-series/01_week-3-a-conversation-with-andrew-ng.mp4 23.8 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/03_transfer-learning/01_transfer-learning/01_a-conversation-with-andrew-ng.mp4 23.7 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Sequences, Time Series and Prediction/01_sequences-and-prediction/01_introduction/01_introduction-a-conversation-with-andrew-ng.mp4 23.5 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/01_a-new-programming-paradigm/01_a-new-programming-paradigm/02_introduction-a-conversation-with-andrew-ng.mp4 22.1 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/04_multiclass-classifications/01_multiclass-classifications/01_a-conversation-with-andrew-ng.mp4 18.8 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Natural Language Processing in TensorFlow/04_sequence-models-and-literature/01_sequence-models-and-literature/07_notebook-for-lesson-1.mp4 18.5 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Sequences, Time Series and Prediction/01_sequences-and-prediction/02_sequences-and-prediction/10_forecasting.mp4 18.2 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/04_using-real-world-images/01_using-real-world-images/13_adding-automatic-validation-to-test-accuracy.mp4 17.9 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Natural Language Processing in TensorFlow/03_sequence-models/01_sequence-models/01_a-conversation-with-andrew-ng.mp4 17.5 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/02_augmentation-a-technique-to-avoid-overfitting/01_augmentation/01_a-conversation-with-andrew-ng.mp4 16.4 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Sequences, Time Series and Prediction/04_real-world-time-series-data/03_tensorflow-in-practice-has-come-to-an-end/01_specialization-wrap-up-a-conversation-with-andrew-ng.mp4 16.1 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Convolutional Neural Networks in TensorFlow/01_exploring-a-larger-dataset/02_larger-dataset/05_working-through-the-notebook.mp4 15.9 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/04_using-real-world-images/01_using-real-world-images/01_a-conversation-with-andrew-ng.mp4 15.8 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/02_introduction-to-computer-vision/01_introduction-to-computer-vision/01_a-conversation-with-andrew-ng.mp4 13.9 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Natural Language Processing in TensorFlow/02_word-embeddings/01_word-embeddings/01_a-conversation-with-andrew-ng.mp4 13.9 MB
[TutsNode.com] - DeepLearning.AI TensorFlow Developer Professional Certificate/Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/03_enhancing-vision-with-convolutional-neural-networks/01_enhancing-vision-with-convolutional-neural-networks/08_improving-the-fashion-classifier-with-convolutions.mp4 13.6 MB

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【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt 147.0 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB

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【压缩文件】 Mosconi F. Zero to Deep Learning with Keras and Tensorflow 2020

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Code.zip 97.4 MB
Mosconi F. Zero to Deep Learning with Keras and Tensorflow 2020.pdf 35.2 MB

猜你喜欢： Keras Deep Mosconi Zero 2020 Learning Tensorflow

【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Interactive Chatbots with TensorFlow [FCO]

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6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4 39.7 MB
1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4 37.4 MB
5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp4 34.8 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4 29.7 MB
6 - Contextual Generative Chatbots/38 - Conclusion.mp4 29.1 MB
3 - Integrating Neural Networks/18 - Applying LSTM to Named Entity Recognition.mp4 26.7 MB
4 - Generative Chatbots - Chatbots of the future/24 - Building the Encoder.mp4 23.9 MB
3 - Integrating Neural Networks/19 - Text Classification Using LSTM.mp4 22.2 MB
1 - NLP Practices for Chatbot Development/01 - The Course Overview.mp4 19.7 MB
3 - Integrating Neural Networks/13 - Implementing Linear Models.mp4 16.6 MB
4 - Generative Chatbots - Chatbots of the future/23 - Preprocessing the Data.mp4 15.5 MB
4 - Generative Chatbots - Chatbots of the future/22 - Preparing Data for the Model.mp4 14.7 MB
4 - Generative Chatbots - Chatbots of the future/26 - Training and Evaluating the Model.mp4 12.7 MB
3 - Integrating Neural Networks/16 - Training Word2vec Models.mp4 12.1 MB
1 - NLP Practices for Chatbot Development/05 - Vectorization.mp4 9.8 MB
5 - Making Your Chatbot Attentive/32 - Adding Attention to Our seq2seq Model.mp4 9.6 MB
4 - Generative Chatbots - Chatbots of the future/27 - Deploying the Chatbot.mp4 9.0 MB
1 - NLP Practices for Chatbot Development/03 - Stemming.mp4 8.6 MB
1 - NLP Practices for Chatbot Development/06 - Word Embedding.mp4 7.3 MB
2 - Building a Retrieval-Based Chatbot/12 - Building Your First Functional Chatbot.mp4 6.9 MB

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【压缩文件】 [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 47.1 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB

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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt 147.0 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB

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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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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
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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/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
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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/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. 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
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15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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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
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4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
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6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
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2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
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