DesireCourse Net Udemy Tensorflow Deep Learning and Artificial Intelligence

DesireCourse Net Udemy Tensorflow Deep Learning and Artificial Intelligence

Name	[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence	DOWNLOAD Copy Link
Total Size	7.5 GB
Total Files	249
Hash	F2F379368645B9C68BF3E53C817168842B105B28

/1. Welcome/
1. Introduction.mp4	41.1 MB
1. Introduction.srt	5.8 KB
2. Outline.mp4	77.3 MB
2. Outline.srt	17.5 KB
3. Where to get the code.mp4	32.0 MB
3. Where to get the code.srt	7.8 KB
/10. GANs (Generative Adversarial Networks)/
1. GAN Theory.mp4	90.7 MB
1. GAN Theory.srt	21.2 KB
2. GAN Code.mp4	82.0 MB
2. GAN Code.srt	15.2 KB
/11. Deep Reinforcement Learning (Theory)/
1. Deep Reinforcement Learning Section Introduction.mp4	39.6 MB
1. Deep Reinforcement Learning Section Introduction.srt	8.8 KB
10. Epsilon-Greedy.mp4	39.4 MB
10. Epsilon-Greedy.srt	7.6 KB
11. Q-Learning.mp4	64.3 MB
11. Q-Learning.srt	18.3 KB
12. Deep Q-Learning DQN (pt 1).mp4	58.4 MB
12. Deep Q-Learning DQN (pt 1).srt	16.8 KB
13. Deep Q-Learning DQN (pt 2).mp4	51.6 MB
13. Deep Q-Learning DQN (pt 2).srt	13.5 KB
14. How to Learn Reinforcement Learning.mp4	39.3 MB
14. How to Learn Reinforcement Learning.srt	7.8 KB
2. Elements of a Reinforcement Learning Problem.mp4	102.5 MB
2. Elements of a Reinforcement Learning Problem.srt	26.8 KB
3. States, Actions, Rewards, Policies.mp4	45.1 MB
3. States, Actions, Rewards, Policies.srt	11.6 KB
4. Markov Decision Processes (MDPs).mp4	51.3 MB
4. Markov Decision Processes (MDPs).srt	13.0 KB
5. The Return.mp4	22.0 MB
5. The Return.srt	6.4 KB
6. Value Functions and the Bellman Equation.mp4	45.4 MB
6. Value Functions and the Bellman Equation.srt	12.8 KB
7. What does it mean to “learn”.mp4	31.8 MB
7. What does it mean to “learn”.srt	9.1 KB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4	40.9 MB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt	13.0 KB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4	55.1 MB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt	15.2 KB
/12. Stock Trading Project with Deep Reinforcement Learning/
1. Reinforcement Learning Stock Trader Introduction.mp4	31.1 MB
1. Reinforcement Learning Stock Trader Introduction.srt	7.0 KB
2. Data and Environment.mp4	58.7 MB
2. Data and Environment.srt	16.1 KB
3. Replay Buffer.mp4	25.2 MB
3. Replay Buffer.srt	7.1 KB
4. Program Design and Layout.mp4	31.2 MB
4. Program Design and Layout.srt	8.8 KB
5. Code pt 1.mp4	49.1 MB
5. Code pt 1.srt	7.4 KB
6. Code pt 2.mp4	87.4 MB
6. Code pt 2.srt	12.0 KB
7. Code pt 3.mp4	65.4 MB
7. Code pt 3.srt	7.9 KB
8. Code pt 4.mp4	62.0 MB
8. Code pt 4.srt	8.4 KB
9. Reinforcement Learning Stock Trader Discussion.mp4	19.1 MB
9. Reinforcement Learning Stock Trader Discussion.srt	4.5 KB
/13. Advanced Tensorflow Usage/
1. What is a Web Service (Tensorflow Serving pt 1).mp4	33.1 MB
1. What is a Web Service (Tensorflow Serving pt 1).srt	7.9 KB
2. Tensorflow Serving pt 2.mp4	130.5 MB
2. Tensorflow Serving pt 2.srt	20.9 KB
3. Tensorflow Lite (TFLite).mp4	44.4 MB
3. Tensorflow Lite (TFLite).srt	11.3 KB
4. Why is Google the King of Distributed Computing.mp4	53.3 MB
4. Why is Google the King of Distributed Computing.srt	11.5 KB
5. Training with Distributed Strategies.mp4	52.5 MB
5. Training with Distributed Strategies.srt	8.7 KB
6. Using the TPU.html	1.8 KB
/14. Low-Level Tensorflow/
1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4	44.6 MB
1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt	12.5 KB
2. Constants and Basic Computation.mp4	52.7 MB
2. Constants and Basic Computation.srt	9.9 KB
3. Variables and Gradient Tape.mp4	74.0 MB
3. Variables and Gradient Tape.srt	13.9 KB
4. Build Your Own Custom Model.mp4	73.6 MB
4. Build Your Own Custom Model.srt	13.6 KB
/15. In-Depth Loss Functions/
1. Mean Squared Error.mp4	39.2 MB
1. Mean Squared Error.srt	11.5 KB
2. Binary Cross Entropy.mp4	22.5 MB
2. Binary Cross Entropy.srt	7.4 KB
3. Categorical Cross Entropy.mp4	37.2 MB
3. Categorical Cross Entropy.srt	9.9 KB
/16. In-Depth Gradient Descent/
1. Gradient Descent.mp4	36.6 MB
1. Gradient Descent.srt	10.0 KB
2. Stochastic Gradient Descent.mp4	26.3 MB
2. Stochastic Gradient Descent.srt	5.5 KB
3. Momentum.mp4	41.3 MB
3. Momentum.srt	8.0 KB
4. Variable and Adaptive Learning Rates.mp4	40.4 MB
4. Variable and Adaptive Learning Rates.srt	15.5 KB
5. Adam.mp4	44.6 MB
5. Adam.srt	13.8 KB
/17. Extras/
1. Links to TF2.0 Notebooks.html	8.0 KB
/18. Setting up your Environment/
1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	174.8 MB
1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	15.0 KB
2. Windows-Focused Environment Setup 2018.mp4	203.4 MB
2. Windows-Focused Environment Setup 2018.srt	20.4 KB
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4	175.4 MB
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt	32.8 KB
/19. Appendix FAQ/
1. What is the Appendix.mp4	18.9 MB
1. What is the Appendix.srt	3.8 KB
10. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
10. BONUS Where to get discount coupons and FREE deep learning material.srt	8.1 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	122.8 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.4 KB
3. How to Code Yourself (part 1).mp4	86.1 MB
3. How to Code Yourself (part 1).srt	22.7 KB
4. How to Code Yourself (part 2).mp4	59.1 MB
4. How to Code Yourself (part 2).srt	13.3 KB
5. Proof that using Jupyter Notebook is the same as not using it.mp4	81.7 MB
5. Proof that using Jupyter Notebook is the same as not using it.srt	14.6 KB
6. How to Succeed in this Course (Long Version).mp4	40.8 MB
6. How to Succeed in this Course (Long Version).srt	15.0 KB
7. Is Theano Dead.mp4	46.5 MB
7. Is Theano Dead.srt	12.9 KB
8. What order should I take your courses in (part 1).mp4	92.4 MB
8. What order should I take your courses in (part 1).srt	16.5 KB
9. What order should I take your courses in (part 2).mp4	128.6 MB
9. What order should I take your courses in (part 2).srt	23.6 KB
/2. Google Colab/
1. Intro to Google Colab, how to use a GPU or TPU for free.mp4	68.3 MB
1. Intro to Google Colab, how to use a GPU or TPU for free.srt	14.5 KB
2. Tensorflow 2.0 in Google Colab.mp4	53.6 MB
2. Tensorflow 2.0 in Google Colab.srt	9.7 KB
3. Uploading your own data to Google Colab.mp4	93.4 MB
3. Uploading your own data to Google Colab.srt	12.3 KB
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4	46.0 MB
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt	11.8 KB
/3. Machine Learning and Neurons/
1. What is Machine Learning.mp4	76.7 MB
1. What is Machine Learning.srt	18.9 KB
2. Code Preparation (Classification Theory).mp4	71.8 MB
2. Code Preparation (Classification Theory).srt	20.7 KB
3. Classification Notebook.mp4	69.5 MB
3. Classification Notebook.srt	9.6 KB
4. Code Preparation (Regression Theory).mp4	32.8 MB
4. Code Preparation (Regression Theory).srt	9.3 KB
5. Regression Notebook.mp4	75.2 MB
5. Regression Notebook.srt	12.4 KB
6. The Neuron.mp4	51.8 MB
6. The Neuron.srt	12.8 KB
7. How does a model learn.mp4	57.7 MB
7. How does a model learn.srt	14.3 KB
8. Making Predictions.mp4	44.0 MB
8. Making Predictions.srt	8.2 KB
9. Saving and Loading a Model.mp4	37.0 MB
9. Saving and Loading a Model.srt	5.0 KB
/4. Feedforward Artificial Neural Networks/
1. Artificial Neural Networks Section Introduction.mp4	34.1 MB
1. Artificial Neural Networks Section Introduction.srt	8.1 KB
2. Forward Propagation.mp4	51.7 MB
2. Forward Propagation.srt	12.5 KB
3. The Geometrical Picture.mp4	59.2 MB
3. The Geometrical Picture.srt	11.8 KB
4. Activation Functions.mp4	96.6 MB
4. Activation Functions.srt	23.2 KB
5. Multiclass Classification.mp4	49.2 MB
5. Multiclass Classification.srt	11.2 KB
6. How to Represent Images.mp4	84.8 MB
6. How to Represent Images.srt	16.0 KB
7. Code Preparation (ANN).mp4	58.9 MB
7. Code Preparation (ANN).srt	16.7 KB
8. ANN for Image Classification.mp4	61.2 MB
8. ANN for Image Classification.srt	10.2 KB
9. ANN for Regression.mp4	88.0 MB
9. ANN for Regression.srt	13.1 KB
/5. Convolutional Neural Networks/
1. What is Convolution (part 1).mp4	87.6 MB
1. What is Convolution (part 1).srt	20.6 KB
10. Batch Normalization.mp4	24.6 MB
10. Batch Normalization.srt	6.7 KB
11. Improving CIFAR-10 Results.mp4	90.5 MB
11. Improving CIFAR-10 Results.srt	13.5 KB
2. What is Convolution (part 2).mp4	26.4 MB
2. What is Convolution (part 2).srt	7.4 KB
3. What is Convolution (part 3).mp4	29.0 MB
3. What is Convolution (part 3).srt	8.2 KB
4. Convolution on Color Images.mp4	80.8 MB
4. Convolution on Color Images.srt	21.0 KB
5. CNN Architecture.mp4	95.4 MB
5. CNN Architecture.srt	28.6 KB
6. CNN Code Preparation.mp4	90.5 MB
6. CNN Code Preparation.srt	20.1 KB
7. CNN for Fashion MNIST.mp4	54.2 MB
7. CNN for Fashion MNIST.srt	8.2 KB
8. CNN for CIFAR-10.mp4	36.5 MB
8. CNN for CIFAR-10.srt	5.5 KB
9. Data Augmentation.mp4	41.1 MB
9. Data Augmentation.srt	11.5 KB
/6. Recurrent Neural Networks, Time Series, and Sequence Data/
1. Sequence Data.mp4	108.2 MB
1. Sequence Data.srt	24.6 KB
10. GRU and LSTM (pt 2).mp4	56.2 MB
10. GRU and LSTM (pt 2).srt	14.7 KB
11. A More Challenging Sequence.mp4	81.4 MB
11. A More Challenging Sequence.srt	9.8 KB
12. Demo of the Long Distance Problem.mp4	150.1 MB
12. Demo of the Long Distance Problem.srt	23.6 KB
13. RNN for Image Classification (Theory).mp4	33.0 MB
13. RNN for Image Classification (Theory).srt	6.1 KB
14. RNN for Image Classification (Code).mp4	28.8 MB
14. RNN for Image Classification (Code).srt	4.3 KB
15. Stock Return Predictions using LSTMs (pt 1).mp4	83.9 MB
15. Stock Return Predictions using LSTMs (pt 1).srt	16.1 KB
16. Stock Return Predictions using LSTMs (pt 2).mp4	40.0 MB
16. Stock Return Predictions using LSTMs (pt 2).srt	6.7 KB
17. Stock Return Predictions using LSTMs (pt 3).mp4	80.5 MB
17. Stock Return Predictions using LSTMs (pt 3).srt	14.8 KB
2. Forecasting.mp4	49.5 MB
2. Forecasting.srt	13.0 KB
3. Autoregressive Linear Model for Time Series Prediction.mp4	91.9 MB
3. Autoregressive Linear Model for Time Series Prediction.srt	14.6 KB
4. Proof that the Linear Model Works.mp4	19.2 MB
4. Proof that the Linear Model Works.srt	4.7 KB
5. Recurrent Neural Networks.mp4	96.5 MB
5. Recurrent Neural Networks.srt	26.2 KB
6. RNN Code Preparation.mp4	21.4 MB
6. RNN Code Preparation.srt	7.3 KB
7. RNN for Time Series Prediction.mp4	91.5 MB
7. RNN for Time Series Prediction.srt	11.5 KB
8. Paying Attention to Shapes.mp4	67.5 MB
8. Paying Attention to Shapes.srt	10.1 KB
9. GRU and LSTM (pt 1).mp4	79.8 MB
9. GRU and LSTM (pt 1).srt	21.6 KB
/7. Natural Language Processing (NLP)/
1. Embeddings.mp4	60.8 MB
1. Embeddings.srt	16.6 KB
2. Code Preparation (NLP).mp4	66.0 MB
2. Code Preparation (NLP).srt	17.2 KB
3. Text Preprocessing.mp4	37.9 MB
3. Text Preprocessing.srt	6.3 KB
4. Text Classification with LSTMs.mp4	63.5 MB
4. Text Classification with LSTMs.srt	10.0 KB
5. CNNs for Text.mp4	42.8 MB
5. CNNs for Text.srt	9.8 KB
6. Text Classification with CNNs.mp4	48.7 MB
6. Text Classification with CNNs.srt	6.8 KB
/8. Recommender Systems/
1. Recommender Systems with Deep Learning Theory.mp4	72.1 MB
1. Recommender Systems with Deep Learning Theory.srt	17.8 KB
2. Recommender Systems with Deep Learning Code.mp4	61.6 MB
2. Recommender Systems with Deep Learning Code.srt	12.0 KB
/9. Transfer Learning for Computer Vision/
1. Transfer Learning Theory.mp4	57.8 MB
1. Transfer Learning Theory.srt	10.9 KB
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4	33.1 MB
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt	7.5 KB
3. Large Datasets and Data Generators.mp4	38.3 MB
3. Large Datasets and Data Generators.srt	9.0 KB
4. 2 Approaches to Transfer Learning.mp4	21.6 MB
4. 2 Approaches to Transfer Learning.srt	6.1 KB
5. Transfer Learning Code (pt 1).mp4	69.8 MB
5. Transfer Learning Code (pt 1).srt	14.1 KB
6. Transfer Learning Code (pt 2).mp4	48.3 MB
6. Transfer Learning Code (pt 2).srt	10.7 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
[FreeCourseWorld.Com].url	0.1 KB
Total files 249