download скачать Free download скачать : PyTorch Deep Learning and Artificial Intelligence
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:7.8 GB

Files Included :

1  Welcome.mp4 (35.67 MB)
MP4
2  Overview and Outline.mp4 (79.65 MB)
MP4
1  Transfer Learning Theory.mp4 (58.1 MB)
MP4
2  Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 (21.61 MB)
MP4
3  Large Datasets.mp4 (41.23 MB)
MP4
4  2 Approaches to Transfer Learning.mp4 (21.75 MB)
MP4
5  Transfer Learning Code (pt 1).mp4 (77.78 MB)
MP4
6  Transfer Learning Code (pt 2).mp4 (56.26 MB)
MP4
1  GAN Theory.mp4 (92.01 MB)
MP4
2  GAN Code Preparation.mp4 (28.1 MB)
MP4
3  GAN Code.mp4 (61.47 MB)
MP4
1  Deep Reinforcement Learning Section Introduction.mp4 (40.72 MB)
MP4
10  Epsilon-Greedy.mp4 (41.46 MB)
MP4
11  Q-Learning.mp4 (66.73 MB)
MP4
12  Deep Q-Learning  DQN (pt 1).mp4 (60.13 MB)
MP4
13  Deep Q-Learning  DQN (pt 2).mp4 (52.1 MB)
MP4
14  How to Learn Reinforcement Learning.mp4 (40.27 MB)
MP4
2  Elements of a Reinforcement Learning Problem.mp4 (104.97 MB)
MP4
3  States, Actions, Rewards, Policies.mp4 (44.06 MB)
MP4
4  Markov Decision Processes (MDPs).mp4 (50.45 MB)
MP4
5  The Return.mp4 (23.37 MB)
MP4
6  Value Functions and the Bellman Equation.mp4 (47.7 MB)
MP4
7  What does it mean to "learn".mp4 (31.65 MB)
MP4
8  Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (45.84 MB)
MP4
9  Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (55.51 MB)
MP4
1  Reinforcement Learning Stock Trader Introduction.mp4 (28.78 MB)
MP4
2  Data and Environment.mp4 (55.69 MB)
MP4
3  Replay Buffer.mp4 (24.89 MB)
MP4
4  Program Design and Layout.mp4 (26.86 MB)
MP4
5  Code pt 1.mp4 (66.34 MB)
MP4
6  Code pt 2.mp4 (70.01 MB)
MP4
7  Code pt 3.mp4 (58.59 MB)
MP4
8  Code pt 4.mp4 (52.59 MB)
MP4
9  Reinforcement Learning Stock Trader Discussion.mp4 (17.17 MB)
MP4
1  Custom Loss and Estimating Prediction Uncertainty.mp4 (43.47 MB)
MP4
2  Estimating Prediction Uncertainty Code.mp4 (42.66 MB)
MP4
1  Facial Recognition Section Introduction.mp4 (24.31 MB)
MP4
10  Facial Recognition Section Summary.mp4 (18.31 MB)
MP4
2  Siamese Networks.mp4 (50.41 MB)
MP4
3  Code Outline.mp4 (23.86 MB)
MP4
4  Loading in the data.mp4 (35 MB)
MP4
5  Splitting the data into train and test.mp4 (26.26 MB)
MP4
6  Converting the data into pairs.mp4 (30.38 MB)
MP4
7  Generating Generators.mp4 (32.46 MB)
MP4
8  Creating the model and loss.mp4 (29.35 MB)
MP4
9  Accuracy and imbalanced classes.mp4 (51.15 MB)
MP4
1  Mean Squared Error.mp4 (33.78 MB)
MP4
2  Binary Cross Entropy.mp4 (23.61 MB)
MP4
3  Categorical Cross Entropy.mp4 (31.72 MB)
MP4
1  Gradient Descent.mp4 (34.93 MB)
MP4
2  Stochastic Gradient Descent.mp4 (22.97 MB)
MP4
3  Momentum.mp4 (34.27 MB)
MP4
4  Variable and Adaptive Learning Rates.mp4 (34.84 MB)
MP4
5  Adam (pt 1).mp4 (55.12 MB)
MP4
6  Adam (pt 2).mp4 (52.77 MB)
MP4
1  Where Are The Exercises.mp4 (25.94 MB)
MP4
1  Pre-Installation Check.mp4 (22.74 MB)
MP4
2  How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (150.72 MB)
MP4
3  Anaconda Environment Setup.mp4 (180.83 MB)
MP4
4  Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 (167.24 MB)
MP4
1  Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (43.56 MB)
MP4
2  How to use Github & Extra Coding Tips (Optional).mp4 (63.91 MB)
MP4
3  Where to get the code, notebooks, and data.mp4 (17.76 MB)
MP4
4  How to Succeed in This Course.mp4 (16.24 MB)
MP4
5  Temporary 403 Errors.mp4 (21.98 MB)
MP4
1  Beginner's Coding Tips.mp4 (75.68 MB)
MP4
2  How to Code Yourself (part 1).mp4 (71.83 MB)
MP4
3  How to Code Yourself (part 2).mp4 (49.13 MB)
MP4
4  Proof that using Jupyter Notebook is the same as not using it.mp4 (69.44 MB)
MP4
1  How to Succeed in this Course (Long Version).mp4 (35.22 MB)
MP4
2  Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (105.56 MB)
MP4
3  Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (79.77 MB)
MP4
4  Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (108.14 MB)
MP4
1  What is the Appendix.mp4 (16.36 MB)
MP4
2  BONUS.mp4 (39.89 MB)
MP4
1  Intro to Google Colab, how to use a GPU or TPU for free.mp4 (60.44 MB)
MP4
2  Uploading your own data to Google Colab.mp4 (90.52 MB)
MP4
3  Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 (57 MB)
MP4
1  What is Machine Learning.mp4 (70.48 MB)
MP4
10  Saving and Loading a Model.mp4 (28.76 MB)
MP4
11  A Short Neuroscience Primer.mp4 (44.63 MB)
MP4
12  How does a model learn.mp4 (50.07 MB)
MP4
13  Model With Logits.mp4 (27.23 MB)
MP4
14  Train Sets vs  Validation Sets vs  Test Sets.mp4 (52.17 MB)
MP4
15  Suggestion Box.mp4 (27.15 MB)
MP4
2  Regression Basics.mp4 (73.01 MB)
MP4
3  Regression Code Preparation.mp4 (45.5 MB)
MP4
4  Regression Notebook.mp4 (71.88 MB)
MP4
5  Moore's Law.mp4 (30.56 MB)
MP4
6  Moore's Law Notebook.mp4 (78.92 MB)
MP4
7  Linear Classification Basics.mp4 (65.85 MB)
MP4
8  Classification Code Preparation.mp4 (26.56 MB)
MP4
9  Classification Notebook.mp4 (78.34 MB)
MP4
1  Artificial Neural Networks Section Introduction.mp4 (33.42 MB)
MP4
10  ANN for Regression.mp4 (80.09 MB)
MP4
11  How to Choose Hyperparameters.mp4 (37.92 MB)
MP4
2  Forward Propagation.mp4 (47 MB)
MP4
3  The Geometrical Picture.mp4 (56.45 MB)
MP4
4  Activation Functions.mp4 (89.24 MB)
MP4
5  Multiclass Classification.mp4 (48.65 MB)
MP4
6  How to Represent Images.mp4 (75.44 MB)
MP4
7  Color Mixing Clarification.mp4 (4.85 MB)
MP4
8  Code Preparation (ANN).mp4 (66.07 MB)
MP4
9  ANN for Image Classification.mp4 (106.37 MB)
MP4
1  What is Convolution (part 1).mp4 (79.72 MB)
MP4
10  CNN for CIFAR-10.mp4 (55.29 MB)
MP4
11  Data Augmentation.mp4 (44.44 MB)
MP4
12  Batch Normalization.mp4 (23.41 MB)
MP4
13  Improving CIFAR-10 Results.mp4 (75.68 MB)
MP4
2  What is Convolution (part 2).mp4 (24.07 MB)
MP4
3  What is Convolution (part 3).mp4 (29.81 MB)
MP4
4  Convolution on Color Images.mp4 (75.65 MB)
MP4
5  CNN Architecture.mp4 (89.46 MB)
MP4
6  CNN Code Preparation (part 1).mp4 (79.91 MB)
MP4
7  CNN Code Preparation (part 2).mp4 (36.68 MB)
MP4
8  CNN Code Preparation (part 3).mp4 (33.65 MB)
MP4
9  CNN for Fashion MNIST.mp4 (73.75 MB)
MP4
1  Sequence Data.mp4 (114.18 MB)
MP4
10  GRU and LSTM (pt 2).mp4 (50.42 MB)
MP4
11  A More Challenging Sequence.mp4 (87.18 MB)
MP4
12  RNN for Image Classification (Theory).mp4 (32.24 MB)
MP4
13  RNN for Image Classification (Code).mp4 (20.49 MB)
MP4
14  Stock Return Predictions using LSTMs (pt 1).mp4 (77.75 MB)
MP4
15  Stock Return Predictions using LSTMs (pt 2).mp4 (43.24 MB)
MP4
16  Stock Return Predictions using LSTMs (pt 3).mp4 (71.11 MB)
MP4
17  Other Ways to Forecast.mp4 (28.29 MB)
MP4
2  Forecasting.mp4 (48.39 MB)
MP4
3  Autoregressive Linear Model for Time Series Prediction.mp4 (81.24 MB)
MP4
4  Proof that the Linear Model Works.mp4 (17.83 MB)
MP4
5  Recurrent Neural Networks.mp4 (92.6 MB)
MP4
6  RNN Code Preparation.mp4 (55.26 MB)
MP4
7  RNN for Time Series Prediction.mp4 (71.73 MB)
MP4
8  Paying Attention to Shapes.mp4 (56.33 MB)
MP4
9  GRU and LSTM (pt 1).mp4 (79.78 MB)
MP4
1  Embeddings.mp4 (59.91 MB)
MP4
10  (Legacy) VIP Making Predictions with a Trained NLP Model.mp4 (48.81 MB)
MP4
11  VIP Making Predictions with a Trained NLP Model (V2).mp4 (25.47 MB)
MP4
2  Neural Networks with Embeddings.mp4 (15.6 MB)
MP4
3  Text Preprocessing Concepts.mp4 (52.3 MB)
MP4
4  Beginner Blues - PyTorch NLP Version.mp4 (64.1 MB)
MP4
5  (Legacy) Text Preprocessing Code Preparation.mp4 (44.35 MB)
MP4
6  (Legacy) Text Preprocessing Code Example.mp4 (47.79 MB)
MP4
7  Text Classification with LSTMs (V2).mp4 (117.19 MB)
MP4
8  CNNs for Text.mp4 (58.4 MB)
MP4
9  Text Classification with CNNs (V2).mp4 (54.46 MB)
MP4
1  Recommender Systems with Deep Learning Theory.mp4 (64.74 MB)
MP4
2  Recommender Systems with Deep Learning Code Preparation.mp4 (40.07 MB)
MP4
3  Recommender Systems with Deep Learning Code (pt 1).mp4 (69.53 MB)
MP4
4  Recommender Systems with Deep Learning Code (pt 2).mp4 (76.79 MB)
MP4

 https://rapidgator.net/file/904ab444fa1862f2177acb1a530a354b/PyTorch_Deep_Learning_and_Artificial_Intelligence.z01
https://rapidgator.net/file/2545660d56b7d3f3fd1e54d4e2f75428/PyTorch_Deep_Learning_and_Artificial_Intelligence.z02
https://rapidgator.net/file/6aa404409c7678d143b34195e0fa9325/PyTorch_Deep_Learning_and_Artificial_Intelligence.z03
https://rapidgator.net/file/77d680c4ca86bc6e878b437a9e70d8e7/PyTorch_Deep_Learning_and_Artificial_Intelligence.z04
https://rapidgator.net/file/719e8eb0b1296cec3815fe644c90ae09/PyTorch_Deep_Learning_and_Artificial_Intelligence.z05
https://rapidgator.net/file/29883963e92459714d7c86069e06dba7/PyTorch_Deep_Learning_and_Artificial_Intelligence.z06
https://rapidgator.net/file/b2dff792a2137bc425f0ecb0c5cc7f03/PyTorch_Deep_Learning_and_Artificial_Intelligence.z07
https://rapidgator.net/file/e1610536a86b8216ba97f1ad090a67fc/PyTorch_Deep_Learning_and_Artificial_Intelligence.zip

 https://nitroflare.com/view/472CDBD7FB5CA4F/PyTorch_Deep_Learning_and_Artificial_Intelligence.z01
https://nitroflare.com/view/1F3E0138AE1436F/PyTorch_Deep_Learning_and_Artificial_Intelligence.z02
https://nitroflare.com/view/71F9E7A45384999/PyTorch_Deep_Learning_and_Artificial_Intelligence.z03
https://nitroflare.com/view/FFCA4DFA8283CE0/PyTorch_Deep_Learning_and_Artificial_Intelligence.z04
https://nitroflare.com/view/0220C2FC84CD3C8/PyTorch_Deep_Learning_and_Artificial_Intelligence.z05
https://nitroflare.com/view/6523AF97E6BE9D3/PyTorch_Deep_Learning_and_Artificial_Intelligence.z06
https://nitroflare.com/view/45DD1D3BE827B82/PyTorch_Deep_Learning_and_Artificial_Intelligence.z07
https://nitroflare.com/view/0F4DC9547203CEE/PyTorch_Deep_Learning_and_Artificial_Intelligence.zip