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种子名称： PyTorch-Deep Learning and Artificial Intelligence [updated]
文件类型： 视频
文件数目： 137个文件
文件大小： 7.28 GB
收录时间： 2022-12-17 11:57
已经下载： 3次
资源热度： 156
最近下载： 2024-12-27 00:33

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PyTorch-Deep Learning and Artificial Intelligence [updated].torrent

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4180.67MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/1. Welcome.mp435.71MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp479.66MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/3. Where to get the Code.mp430.17MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp460.45MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp490.53MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp444.39MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/1. What is Machine Learning.mp470.59MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/2. Regression Basics.mp473.02MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/3. Regression Code Preparation.mp445.53MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/4. Regression Notebook.mp471.93MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/5. Moore's Law.mp430.63MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp478.92MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/7. Linear Classification Basics.mp467.22MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/8. Classification Code Preparation.mp426.54MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/9. Classification Notebook.mp478.28MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/10. Saving and Loading a Model.mp428.83MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/11. A Short Neuroscience Primer.mp444.66MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/12. How does a model learn.mp450.08MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/13. Model With Logits.mp427.31MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/14. Train Sets vs. Validation Sets vs. Test Sets.mp452.14MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp433.48MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp447.1MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp456.42MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp489.24MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp448.69MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp475.43MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp467.55MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4106.33MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp480.18MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp479.65MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/2. What is Convolution (part 2).mp424.49MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/3. What is Convolution (part 3).mp428.7MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/4. Convolution on Color Images.mp476.38MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp489.53MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp476.74MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/7. CNN Code Preparation (part 2).mp436.72MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/8. CNN Code Preparation (part 3).mp433.69MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp474.46MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/10. CNN for CIFAR-10.mp456.72MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/11. Data Augmentation.mp444.52MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/12. Batch Normalization.mp423.44MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp477.42MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4114.29MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp448.7MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp481.19MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp417.91MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp492.61MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp455.31MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp471.85MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp456.41MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp476.07MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp450.56MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp486.67MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. RNN for Image Classification (Theory).mp432.26MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Code).mp420.53MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/14. Stock Return Predictions using LSTMs (pt 1).mp477.82MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp443.22MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).mp471.07MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp428.27MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/1. Embeddings.mp459.97MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/2. Neural Networks with Embeddings.mp415.63MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/3. Text Preprocessing (pt 1).mp452.29MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/4. Text Preprocessing (pt 2).mp444.42MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/5. Text Preprocessing (pt 3).mp447.74MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp465.05MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/7. CNNs for Text.mp458.7MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/8. Text Classification with CNNs.mp439.33MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp448.81MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp464.75MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp440.1MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).mp469.58MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp476.87MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/5. VIP Making Predictions with a Trained Recommender Model.mp432.74MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp458.19MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp421.67MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/3. Large Datasets.mp441.26MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp421.79MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp477.78MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp456.32MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp492.11MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code Preparation.mp428.08MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/3. GAN Code.mp461.37MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp440.66MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4104.93MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp444.12MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp450.51MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/5. The Return.mp423.42MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp447.72MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp432.51MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp442.62MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp457.02MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp441.47MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp466.79MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp460.24MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp452.22MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp440.25MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp428.82MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp455.69MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp424.97MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp426.86MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp466.34MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp469.98MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp458.59MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp452.32MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp417.22MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp443.55MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp442.75MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/1. Facial Recognition Section Introduction.mp424.31MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/2. Siamese Networks.mp450.52MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/3. Code Outline.mp423.86MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/4. Loading in the data.mp435.07MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/5. Splitting the data into train and test.mp426.3MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/6. Converting the data into pairs.mp430.38MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/7. Generating Generators.mp432.44MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/8. Creating the model and loss.mp429.38MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/9. Accuracy and imbalanced classes.mp451.09MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/10. Facial Recognition Section Summary.mp418.33MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/1. Mean Squared Error.mp433.79MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/2. Binary Cross Entropy.mp423.68MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp431.74MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/1. Gradient Descent.mp434.91MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp422.98MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/3. Momentum.mp434.25MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp434.85MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/5. Adam.mp438.9MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4150.67MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4167.32MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/1. What is the Appendix.mp416.38MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4105.66MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/3. How to Code Yourself (part 1).mp471.87MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/4. How to Code Yourself (part 2).mp449.15MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp469.5MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp435.25MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp479.59MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4108.23MB

[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/9. BONUS Where to get discount coupons and FREE deep learning material.mp437.81MB