Download Tensorflow 2.0: Deep Learning and Artificial Intelligence Torrent

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Tensorflow 2.0: Deep Learning and Artificial Intelligence

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1. Welcome

1. Introduction.mp4	MP4	34.81 MB
1. Introduction.srt	SRT	5.7 KB
2. Outline.mp4	MP4	73.67 MB
2. Outline.srt	SRT	17.1 KB
3. Where to get the code.mp4	MP4	62.91 MB
3. Where to get the code.srt	SRT	15.36 KB
3.1 Colab Notebooks.html	HTML	157 B
3.2 Github Link.html	HTML	120 B

10. GANs (Generative Adversarial Networks)

1. GAN Theory.mp4	MP4	87.16 MB
1. GAN Theory.srt	SRT	20.71 KB
2. GAN Code.mp4	MP4	78.3 MB
2. GAN Code.srt	SRT	14.88 KB

11. Deep Reinforcement Learning (Theory)

1. Deep Reinforcement Learning Section Introduction.mp4	MP4	38.05 MB
1. Deep Reinforcement Learning Section Introduction.srt	SRT	8.6 KB
10. Epsilon-Greedy.mp4	MP4	40.11 MB
10. Epsilon-Greedy.srt	SRT	7.49 KB
11. Q-Learning.mp4	MP4	61.83 MB
11. Q-Learning.srt	SRT	17.91 KB
12. Deep Q-Learning DQN (pt 1).mp4	MP4	56.27 MB
12. Deep Q-Learning DQN (pt 1).srt	SRT	16.43 KB
13. Deep Q-Learning DQN (pt 2).mp4	MP4	49.6 MB
13. Deep Q-Learning DQN (pt 2).srt	SRT	13.21 KB
14. How to Learn Reinforcement Learning.mp4	MP4	37.7 MB
14. How to Learn Reinforcement Learning.srt	SRT	7.62 KB
2. Elements of a Reinforcement Learning Problem.mp4	MP4	98.59 MB
2. Elements of a Reinforcement Learning Problem.srt	SRT	26.19 KB
3. States, Actions, Rewards, Policies.mp4	MP4	43.33 MB
3. States, Actions, Rewards, Policies.srt	SRT	11.32 KB
4. Markov Decision Processes (MDPs).mp4	MP4	49.35 MB
4. Markov Decision Processes (MDPs).srt	SRT	12.65 KB
5. The Return.mp4	MP4	21.13 MB
5. The Return.srt	SRT	6.26 KB
6. Value Functions and the Bellman Equation.mp4	MP4	43.56 MB
6. Value Functions and the Bellman Equation.srt	SRT	12.51 KB
7. What does it mean to “learn”.mp4	MP4	31.71 MB
7. What does it mean to “learn”.srt	SRT	8.92 KB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4	MP4	42.74 MB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt	SRT	12.41 KB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4	MP4	52.91 MB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt	SRT	14.88 KB

12. Stock Trading Project with Deep Reinforcement Learning

1. Reinforcement Learning Stock Trader Introduction.mp4	MP4	26.04 MB
1. Reinforcement Learning Stock Trader Introduction.srt	SRT	6.84 KB
10. Help! Why is the code slower on my machine.mp4	MP4	42.46 MB
10. Help! Why is the code slower on my machine.srt	SRT	11.72 KB
2. Data and Environment.mp4	MP4	50.97 MB
2. Data and Environment.srt	SRT	15.69 KB
3. Replay Buffer.mp4	MP4	24.04 MB
3. Replay Buffer.srt	SRT	6.94 KB
4. Program Design and Layout.mp4	MP4	25.98 MB
4. Program Design and Layout.srt	SRT	8.64 KB
5. Code pt 1.mp4	MP4	39.55 MB
5. Code pt 1.srt	SRT	7.21 KB
6. Code pt 2.mp4	MP4	68 MB
6. Code pt 2.srt	SRT	11.75 KB
7. Code pt 3.mp4	MP4	52.05 MB
7. Code pt 3.srt	SRT	7.75 KB
8. Code pt 4.mp4	MP4	52.51 MB
8. Code pt 4.srt	SRT	8.37 KB
9. Reinforcement Learning Stock Trader Discussion.mp4	MP4	16.59 MB
9. Reinforcement Learning Stock Trader Discussion.srt	SRT	4.39 KB

13. Advanced Tensorflow Usage

1. What is a Web Service (Tensorflow Serving pt 1).mp4	MP4	27.78 MB
1. What is a Web Service (Tensorflow Serving pt 1).srt	SRT	7.71 KB
2. Tensorflow Serving pt 2.mp4	MP4	104.99 MB
2. Tensorflow Serving pt 2.srt	SRT	20.42 KB
3. Tensorflow Lite (TFLite).mp4	MP4	42.59 MB
3. Tensorflow Lite (TFLite).srt	SRT	11.03 KB
4. Why is Google the King of Distributed Computing.mp4	MP4	44.93 MB
4. Why is Google the King of Distributed Computing.srt	SRT	11.25 KB
5. Training with Distributed Strategies.mp4	MP4	43.54 MB
5. Training with Distributed Strategies.srt	SRT	8.53 KB
6. Using the TPU.mp4	MP4	45.24 MB
6. Using the TPU.srt	SRT	6.96 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

14. Low-Level Tensorflow

1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4	MP4	38.68 MB
1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt	SRT	12.2 KB
2. Constants and Basic Computation.mp4	MP4	40.3 MB
2. Constants and Basic Computation.srt	SRT	9.63 KB
3. Variables and Gradient Tape.mp4	MP4	56.05 MB
3. Variables and Gradient Tape.srt	SRT	13.58 KB
4. Build Your Own Custom Model.mp4	MP4	58.55 MB
4. Build Your Own Custom Model.srt	SRT	13.28 KB

15. In-Depth Loss Functions

1. Mean Squared Error.mp4	MP4	33.77 MB
1. Mean Squared Error.srt	SRT	11.21 KB
2. Binary Cross Entropy.mp4	MP4	23.68 MB
2. Binary Cross Entropy.srt	SRT	7.26 KB
3. Categorical Cross Entropy.mp4	MP4	31.7 MB
3. Categorical Cross Entropy.srt	SRT	9.62 KB

16. In-Depth Gradient Descent

1. Gradient Descent.mp4	MP4	34.92 MB
1. Gradient Descent.srt	SRT	9.77 KB
2. Stochastic Gradient Descent.mp4	MP4	22.97 MB
2. Stochastic Gradient Descent.srt	SRT	5.4 KB
3. Momentum.mp4	MP4	34.25 MB
3. Momentum.srt	SRT	7.84 KB
4. Variable and Adaptive Learning Rates.mp4	MP4	34.85 MB
4. Variable and Adaptive Learning Rates.srt	SRT	15.15 KB
5. Adam (pt 1).mp4	MP4	55.12 MB
5. Adam (pt 1).srt	SRT	16.67 KB
6. Adam (pt 2).mp4	MP4	52.76 MB
6. Adam (pt 2).srt	SRT	14.48 KB

17. Extras

1. How to Choose Hyperparameters.mp4	MP4	37.92 MB
1. How to Choose Hyperparameters.srt	SRT	8.71 KB
2. Where Are The Exercises.mp4	MP4	25.98 MB
2. Where Are The Exercises.srt	SRT	5.41 KB
3. Links to TF2.0 Notebooks.html	HTML	8.11 KB

18. Setting up your Environment (FAQ by Student Request)

1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	MP4	150.59 MB
1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	SRT	14.69 KB
2. Anaconda Environment Setup.mp4	MP4	180.9 MB
2. Anaconda Environment Setup.srt	SRT	19.96 KB
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4	MP4	167.3 MB
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt	SRT	32.01 KB

19. Extra Help With Python Coding for Beginners (FAQ by Student Request)

1. Beginner's Coding Tips.mp4	MP4	75.71 MB
1. Beginner's Coding Tips.srt	SRT	19.02 KB
2. How to Code Yourself (part 1).mp4	MP4	71.85 MB
2. How to Code Yourself (part 1).srt	SRT	22.13 KB
3. How to Code Yourself (part 2).mp4	MP4	49.14 MB
3. How to Code Yourself (part 2).srt	SRT	12.98 KB
4. Proof that using Jupyter Notebook is the same as not using it.mp4	MP4	69.45 MB
4. Proof that using Jupyter Notebook is the same as not using it.srt	SRT	14.22 KB
5. Is Theano Dead.mp4	MP4	40.76 MB
5. Is Theano Dead.srt	SRT	12.63 KB
GetFreeCourses.Co.url	URL	116 B

2. Google Colab

1. Intro to Google Colab, how to use a GPU or TPU for free.mp4	MP4	53.84 MB
1. Intro to Google Colab, how to use a GPU or TPU for free.srt	SRT	14.13 KB
2. Tensorflow 2.0 in Google Colab.mp4	MP4	40.65 MB
2. Tensorflow 2.0 in Google Colab.srt	SRT	9.48 KB
3. Uploading your own data to Google Colab.mp4	MP4	73.59 MB
3. Uploading your own data to Google Colab.srt	SRT	11.98 KB
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4	MP4	38.93 MB
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt	SRT	11.53 KB
5. How to Succeed in this Course.mp4	MP4	43.75 MB
5. How to Succeed in this Course.srt	SRT	8.28 KB

20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)

1. How to Succeed in this Course (Long Version).mp4	MP4	35.22 MB
1. How to Succeed in this Course (Long Version).srt	SRT	14.61 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	MP4	105.61 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	SRT	31.63 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	MP4	79.71 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	SRT	16.11 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	MP4	108.17 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	SRT	23.01 KB

21. Appendix FAQ Finale

1. What is the Appendix.mp4	MP4	16.38 MB
1. What is the Appendix.srt	SRT	3.75 KB
2. BONUS Lecture.mp4	MP4	37.79 MB
2. BONUS Lecture.srt	SRT	7.87 KB

3. Machine Learning and Neurons

1. What is Machine Learning.mp4	MP4	65.5 MB
1. What is Machine Learning.srt	SRT	18.45 KB
10. Why Keras.mp4	MP4	26.51 MB
10. Why Keras.srt	SRT	5.77 KB
11. Suggestion Box.mp4	MP4	27.12 MB
11. Suggestion Box.srt	SRT	4.75 KB
2. Code Preparation (Classification Theory).mp4	MP4	59.8 MB
2. Code Preparation (Classification Theory).srt	SRT	20.26 KB
3. Classification Notebook.mp4	MP4	54.54 MB
3. Classification Notebook.srt	SRT	9.4 KB
4. Code Preparation (Regression Theory).mp4	MP4	27.29 MB
4. Code Preparation (Regression Theory).srt	SRT	9.07 KB
5. Regression Notebook.mp4	MP4	57.47 MB
5. Regression Notebook.srt	SRT	12.13 KB
6. The Neuron.mp4	MP4	42.57 MB
6. The Neuron.srt	SRT	12.46 KB
7. How does a model learn.mp4	MP4	47.95 MB
7. How does a model learn.srt	SRT	14 KB
8. Making Predictions.mp4	MP4	33.88 MB
8. Making Predictions.srt	SRT	7.99 KB
9. Saving and Loading a Model.mp4	MP4	29.73 MB
9. Saving and Loading a Model.srt	SRT	4.93 KB

4. Feedforward Artificial Neural Networks

1. Artificial Neural Networks Section Introduction.mp4	MP4	29.82 MB
1. Artificial Neural Networks Section Introduction.srt	SRT	7.9 KB
10. ANN for Regression.mp4	MP4	69.27 MB
10. ANN for Regression.srt	SRT	12.78 KB
2. Beginners Rejoice The Math in This Course is Optional.mp4	MP4	68.52 MB
2. Beginners Rejoice The Math in This Course is Optional.srt	SRT	17.02 KB
3. Forward Propagation.mp4	MP4	46.7 MB
3. Forward Propagation.srt	SRT	12.2 KB
4. The Geometrical Picture.mp4	MP4	56.43 MB
4. The Geometrical Picture.srt	SRT	11.51 KB
5. Activation Functions.mp4	MP4	80.54 MB
5. Activation Functions.srt	SRT	22.64 KB
6. Multiclass Classification.mp4	MP4	41.38 MB
6. Multiclass Classification.srt	SRT	10.98 KB
7. How to Represent Images.mp4	MP4	70.46 MB
7. How to Represent Images.srt	SRT	15.6 KB
8. Code Preparation (ANN).mp4	MP4	50.92 MB
8. Code Preparation (ANN).srt	SRT	16.3 KB
9. ANN for Image Classification.mp4	MP4	47.71 MB
9. ANN for Image Classification.srt	SRT	9.93 KB

5. Convolutional Neural Networks

1. What is Convolution (part 1).mp4	MP4	79.77 MB
1. What is Convolution (part 1).srt	SRT	20.16 KB
10. Batch Normalization.mp4	MP4	21.11 MB
10. Batch Normalization.srt	SRT	6.53 KB
11. Improving CIFAR-10 Results.mp4	MP4	72.91 MB
11. Improving CIFAR-10 Results.srt	SRT	13.17 KB
2. What is Convolution (part 2).mp4	MP4	22.27 MB
2. What is Convolution (part 2).srt	SRT	7.25 KB
3. What is Convolution (part 3).mp4	MP4	27.64 MB
3. What is Convolution (part 3).srt	SRT	8.01 KB
4. Convolution on Color Images.mp4	MP4	69.44 MB
4. Convolution on Color Images.srt	SRT	20.56 KB
5. CNN Architecture.mp4	MP4	80.58 MB
5. CNN Architecture.srt	SRT	27.89 KB
6. CNN Code Preparation.mp4	MP4	76.88 MB
6. CNN Code Preparation.srt	SRT	19.65 KB
7. CNN for Fashion MNIST.mp4	MP4	42.79 MB
7. CNN for Fashion MNIST.srt	SRT	7.99 KB
8. CNN for CIFAR-10.mp4	MP4	29.69 MB
8. CNN for CIFAR-10.srt	SRT	5.38 KB
9. Data Augmentation.mp4	MP4	34.95 MB
9. Data Augmentation.srt	SRT	11.24 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

6. Recurrent Neural Networks, Time Series, and Sequence Data

1. Sequence Data.mp4	MP4	90.15 MB
1. Sequence Data.srt	SRT	24.02 KB
10. GRU and LSTM (pt 2).mp4	MP4	50.36 MB
10. GRU and LSTM (pt 2).srt	SRT	14.28 KB
11. A More Challenging Sequence.mp4	MP4	64.65 MB
11. A More Challenging Sequence.srt	SRT	9.6 KB
12. Demo of the Long Distance Problem.mp4	MP4	124.05 MB
12. Demo of the Long Distance Problem.srt	SRT	23.06 KB
13. RNN for Image Classification (Theory).mp4	MP4	29.12 MB
13. RNN for Image Classification (Theory).srt	SRT	5.99 KB
14. RNN for Image Classification (Code).mp4	MP4	23.3 MB
14. RNN for Image Classification (Code).srt	SRT	4.19 KB
15. Stock Return Predictions using LSTMs (pt 1).mp4	MP4	67.11 MB
15. Stock Return Predictions using LSTMs (pt 1).srt	SRT	15.71 KB
16. Stock Return Predictions using LSTMs (pt 2).mp4	MP4	32.97 MB
16. Stock Return Predictions using LSTMs (pt 2).srt	SRT	6.5 KB
17. Stock Return Predictions using LSTMs (pt 3).mp4	MP4	67.34 MB
17. Stock Return Predictions using LSTMs (pt 3).srt	SRT	14.42 KB
18. Other Ways to Forecast.mp4	MP4	28.33 MB
18. Other Ways to Forecast.srt	SRT	7.18 KB
2. Forecasting.mp4	MP4	46.75 MB
2. Forecasting.srt	SRT	13.35 KB
3. Autoregressive Linear Model for Time Series Prediction.mp4	MP4	71.7 MB
3. Autoregressive Linear Model for Time Series Prediction.srt	SRT	14.23 KB
4. Proof that the Linear Model Works.mp4	MP4	16.2 MB
4. Proof that the Linear Model Works.srt	SRT	4.56 KB
5. Recurrent Neural Networks.mp4	MP4	83 MB
5. Recurrent Neural Networks.srt	SRT	25.59 KB
6. RNN Code Preparation.mp4	MP4	18.43 MB
6. RNN Code Preparation.srt	SRT	7.14 KB
7. RNN for Time Series Prediction.mp4	MP4	74.07 MB
7. RNN for Time Series Prediction.srt	SRT	11.21 KB
8. Paying Attention to Shapes.mp4	MP4	52.48 MB
8. Paying Attention to Shapes.srt	SRT	9.88 KB
9. GRU and LSTM (pt 1).mp4	MP4	79.86 MB
9. GRU and LSTM (pt 1).srt	SRT	22.8 KB

7. Natural Language Processing (NLP)

1. Embeddings.mp4	MP4	52.56 MB
1. Embeddings.srt	SRT	16.2 KB
2. Code Preparation (NLP).mp4	MP4	57.04 MB
2. Code Preparation (NLP).srt	SRT	16.82 KB
3. Text Preprocessing.mp4	MP4	28.76 MB
3. Text Preprocessing.srt	SRT	6.15 KB
4. Text Classification with LSTMs.mp4	MP4	50.68 MB
4. Text Classification with LSTMs.srt	SRT	9.8 KB
5. CNNs for Text.mp4	MP4	40.4 MB
5. CNNs for Text.srt	SRT	10.09 KB
6. Text Classification with CNNs.mp4	MP4	39.62 MB
6. Text Classification with CNNs.srt	SRT	6.63 KB

8. Recommender Systems

1. Recommender Systems with Deep Learning Theory.mp4	MP4	68.66 MB
1. Recommender Systems with Deep Learning Theory.srt	SRT	17.4 KB
2. Recommender Systems with Deep Learning Code.mp4	MP4	58.81 MB
2. Recommender Systems with Deep Learning Code.srt	SRT	11.7 KB

9. Transfer Learning for Computer Vision

1. Transfer Learning Theory.mp4	MP4	55.13 MB
1. Transfer Learning Theory.srt	SRT	10.66 KB
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4	MP4	31.57 MB
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt	SRT	7.29 KB
3. Large Datasets and Data Generators.mp4	MP4	36.56 MB
3. Large Datasets and Data Generators.srt	SRT	8.8 KB
4. 2 Approaches to Transfer Learning.mp4	MP4	20.58 MB
4. 2 Approaches to Transfer Learning.srt	SRT	5.96 KB
5. Transfer Learning Code (pt 1).mp4	MP4	66.52 MB
5. Transfer Learning Code (pt 1).srt	SRT	13.76 KB
6. Transfer Learning Code (pt 2).mp4	MP4	46.05 MB
6. Transfer Learning Code (pt 2).srt	SRT	10.43 KB

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Tensorflow 2.0: Deep Learning and Artificial Intelligence

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