ZeroToMastery - TensorFlow for Deep Learning Bootcamp Zero to Mastery (5.2025)

磁链地址复制复制磁链成功
磁链详情
文件数目:800个文件
文件大小:23.43 GB
收录时间:2025-07-12
访问次数:2
相关内容:ZeroToMasteryTensorFlowDeepLearningBootcampZeroMastery2025
文件meta
  • 10. NLP Fundamentals in TensorFlow/16. Visualizing our model's learned word embeddings with TensorFlow's projector tool.mp4
    269.1 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/23. Writing a preprocessing function to turn time series data into windows & labels.mp4
    187.23 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/47. Model 7 Putting together the pieces of the puzzle of the N-BEATS model.mp4
    172.58 MB
  • 11. Milestone Project 2 SkimLit/6. Writing a preprocessing function to structure our data for modelling.mp4
    159.95 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/41. Model 7 Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4
    152.35 MB
  • 10. NLP Fundamentals in TensorFlow/15. Model 1 Building, fitting and evaluating our first deep model on text data.mp4
    151.02 MB
  • 10. NLP Fundamentals in TensorFlow/9. Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4
    145.61 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/21. Preparing Model 3 (our first fine-tuned model).mp4
    144.84 MB
  • 3. Neural network regression with TensorFlow/13. Evaluating a TensorFlow model part 3 (getting a model summary).mp4
    142.06 MB
  • 11. Milestone Project 2 SkimLit/21. Model 4 Building a multi-input model (hybrid token + character embeddings).mp4
    136.56 MB
  • 11. Milestone Project 2 SkimLit/17. Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4
    133.08 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/51. Model 8 Making and evaluating predictions with our ensemble model.mp4
    129.95 MB
  • 10. NLP Fundamentals in TensorFlow/21. Discussing the intuition behind Conv1D neural networks for text and sequences.mp4
    128.86 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/42. Model 7 Testing our N-BEATS block implementation with dummy data inputs.mp4
    128.61 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/4. Downloading and turning our images into a TensorFlow BatchDataset.mp4
    126.11 MB
  • 5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4
    125.81 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/10. Getting a feature vector from our trained model.mp4
    124.69 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/50. Model 8 Building, compiling and fitting an ensemble of models.mp4
    121.45 MB
  • 10. NLP Fundamentals in TensorFlow/27. Fixing our data leakage issue with model 7 and retraining it.mp4
    121.19 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/35. Model 5 Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.mp4
    120.99 MB
  • 4. Neural network classification in TensorFlow/19. Using callbacks to find a model's ideal learning rate.mp4
    120.91 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/26. Model 1 Building, compiling and fitting a deep learning model on Bitcoin data.mp4
    120.4 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/45. Model 7 Getting ready for residual connections.mp4
    120.36 MB
  • 3. Neural network regression with TensorFlow/7. The major steps in modelling with TensorFlow.mp4
    120.27 MB
  • 4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.mp4
    120 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/9. Compiling and fitting our first Functional API model.mp4
    118.63 MB
  • 11. Milestone Project 2 SkimLit/14. Model 1 Building, fitting and evaluating a Conv1D with token embeddings.mp4
    118.1 MB
  • 10. NLP Fundamentals in TensorFlow/19. Model 3 Building, fitting and evaluating a GRU-cell powered RNN.mp4
    117.75 MB
  • 3. Neural network regression with TensorFlow/27. Putting together what we've learned part 3 (improving our regression model).mp4
    117.7 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/8. Downloading and inspecting our Bitcoin historical dataset.mp4
    115.83 MB
  • 11. Milestone Project 2 SkimLit/29. Model 5 Completing the build of a tribrid embedding model for sequences.mp4
    115.21 MB
  • 10. NLP Fundamentals in TensorFlow/18. Model 2 Building, fitting and evaluating our first TensorFlow RNN model (LSTM).mp4
    114.4 MB
  • 10. NLP Fundamentals in TensorFlow/14. Creating a function to track and evaluate our model's results.mp4
    114.19 MB
  • 10. NLP Fundamentals in TensorFlow/6. Becoming one with the data and visualizing a text dataset.mp4
    114.07 MB
  • 8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.mp4
    114.04 MB
  • 11. Milestone Project 2 SkimLit/4. Setting up our notebook for Milestone Project 2 (getting the data).mp4
    113.5 MB
  • 8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.mp4
    113.12 MB
  • 11. Milestone Project 2 SkimLit/24. Model 4 Building, fitting and evaluating a hybrid embedding model.mp4
    112.4 MB
  • 10. NLP Fundamentals in TensorFlow/20. Model 4 Building, fitting and evaluating a bidirectional RNN model.mp4
    108.77 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/16. Building Model 1 (with a data augmentation layer and 1% of training data).mp4
    105.26 MB
  • 4. Neural network classification in TensorFlow/17. Getting great results in less time by tweaking the learning rate.mp4
    104.51 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/17. Building Model 2 (with a data augmentation layer and 10% of training data).mp4
    104.47 MB
  • 5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.mp4
    103.89 MB
  • 11. Milestone Project 2 SkimLit/35. Congratulations and your challenge before heading to the next module.mp4
    103.48 MB
  • 7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Creating our first model with the TensorFlow Keras Functional API.mp4
    103.33 MB
  • 10. NLP Fundamentals in TensorFlow/11. Creating an Embedding layer to turn tokenised text into embedding vectors.mp4
    103.29 MB
  • 5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.mp4
    103.25 MB
  • 4. Neural network classification in TensorFlow/16. Non-linearity part 5 Replicating non-linear activation functions from scratch.mp4
    101.14 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/28. Model 2 Building, fitting and evaluating a deep model with a larger window size-27.mp4
    100.71 MB
  • 12. Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/34. Model 4 Building, fitting and evaluating a Conv1D model on our Bitcoin data.mp4
    99.96 MB
©2018 ciligou.app 磁力狗 v2.0
使用必读|联系我们|资源导航|种子提交