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

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File size：23.43 GB
Time：2025-07-12
Hit count ：2
Related ：ZeroToMastery TensorFlow Deep Learning Bootcamp Zero Mastery 2025

File list

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