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- 【影视】 Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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收录时间:2025-05-04
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[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/115 - Flask Front End.mp4 175.6 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/13 - Deployment/110 - Creating the Model.mp4 128.0 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
[TutsNode.net] - Complete Tensorflow 2 and Keras Deep Learning Bootcamp/8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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- 【影视】 PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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lesson154.mp4 151.4 MB
lesson40.mp4 148.6 MB
lesson139.mp4 131.9 MB
lesson105.mp4 131.6 MB
lesson144.mp4 130.6 MB
lesson75.mp4 126.4 MB
lesson66.mp4 125.5 MB
lesson143.mp4 124.1 MB
lesson54.mp4 123.0 MB
lesson175.mp4 119.3 MB
lesson179.mp4 118.2 MB
lesson34.mp4 118.1 MB
lesson149.mp4 110.0 MB
lesson73.mp4 109.2 MB
lesson150.mp4 109.1 MB
lesson110.mp4 108.6 MB
lesson142.mp4 108.1 MB
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lesson72.mp4 105.7 MB
lesson97.mp4 102.0 MB
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- 【影视】 [ FreeCourseWeb.com ] Deep Learning with TensorFlow - Insights and Innovations
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~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.mp4 81.9 MB
~Get Your Files Here !/04 - 3. Building Your First Model/02 - Preprocessing and feeding data into your model.mp4 67.2 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/02 - Deep dives into training metrics.mp4 53.4 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/01 - Visualizing success with TensorBoard.mp4 46.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/05 - Save and reuse trained models.mp4 44.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/06 - Autoencoders A gentle introduction to generative models.mp4 42.3 MB
~Get Your Files Here !/04 - 3. Building Your First Model/08 - Solution Building blocks to TensorFlow mastery.mp4 42.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/03 - Monitor training and validation.mp4 34.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/01 - Let's create a TensorFlow model.mp4 23.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/05 - Solution Step-by-step statistical analysis.mp4 21.1 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/03 - Machine learning workflow.mp4 13.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/04 - Challenge Normalizing tensors.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/01 - TensorFlow essentials.mp4 12.8 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/02 - TensorFlow simplified for NumPy users.mp4 10.1 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/01 - Codespaces Your ready-to-use workspace.mp4 9.5 MB
~Get Your Files Here !/04 - 3. Building Your First Model/07 - Challenge My first TensorFlow model.mp4 5.3 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 4.6 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/02 - Setting up TensorFlow with Codespaces.mp4 4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Welcome to deep learning with TensorFlow.mp4 3.7 MB
~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.srt 37.3 kB
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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 96.5 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 82.0 MB
13. Business case/9. Setting an early stopping mechanism.mp4 56.0 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 48.2 MB
12. The MNIST example/10. Learning.mp4 46.6 MB
03. Setting up the working environment/9. Installing TensorFlow 2.mp4 45.0 MB
03. Setting up the working environment/2. Why Python and why Jupyter.mp4 43.0 MB
02. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
05. TensorFlow - An introduction/1. TensorFlow outline.mp4 40.2 MB
02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/3. Balancing the dataset.mp4 36.9 MB
03. Setting up the working environment/4. Installing Anaconda.mp4 36.6 MB
13. Business case/8. Learning and interpreting the result.mp4 36.3 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
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磁力链接
~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB
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18 - Model deployment/84 - Building the Emotions Detection API with Fastapi.mp4 707.4 MB
8 - Data augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
46 - DEPRECATED Object Detection with YOLO/260 - YOLO v3.mp4 643.9 MB
28 - Neural Machine Translation with Transformers/133 - Understanding Transformer Networks.mp4 636.4 MB
34 - Extractive Question Answering with Longformer in Huggingface transformers/153 - Problem Understanding and Data Preparation.mp4 634.4 MB
19 - Object Detection with YOLO algorithm/88 - YOLO paper.mp4 599.8 MB
28 - Neural Machine Translation with Transformers/134 - Building training and testing Transformers.mp4 584.1 MB
29 - Sentiment Analysis with Transformers/138 - Sentiment analysis with LSH Attention.mp4 565.3 MB
46 - DEPRECATED Object Detection with YOLO/254 - Modeling YOLO v1.mp4 502.5 MB
50 - DEPRECATED Question Answering with TensorFlow 2/289 - LSH Attention.mp4 502.0 MB
11 - MLOps with Weights and Biases/52 - Experiment tracking.mp4 492.5 MB
43 - DEPRECATED Introduction to Deep Computer Vision with TensorFlow 2/230 - Transfer Learning and FineTuning.mp4 461.3 MB
8 - Data augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
49 - DEPRECATED Neural Machine Translation with TensorFlow 2/279 - Attention Mechanism Bahdanau Attention.mp4 441.9 MB
22 - Image generation/110 - Face generation with GANs.mp4 428.4 MB
2 - Tensors and Variables/5 - Tensor Initialization and Casting.mp4 426.3 MB
46 - DEPRECATED Object Detection with YOLO/253 - Pascal VOC Dataset.mp4 422.1 MB
19 - Object Detection with YOLO algorithm/89 - Dataset Preparation.mp4 420.6 MB
17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.2 MB
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05. Training neural networks with Tensorflow 2 and Keras Functional API/01. Neural Networks with Keras Functional API.mp4 35.1 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/02. Activation functions.mp4 25.6 MB
02. Introduction to TensorFlow/01. Introduction to Tensorflow.mp4 23.8 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/04. Neural Networks with Keras Sequential API.mp4 23.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/03. Getting the data ready for model training.mp4 21.9 MB
02. Introduction to TensorFlow/03. Components of TensorFlow- Tensors and Variables.mp4 20.4 MB
04. Training neural networks with Tensorflow 2 and the Keras Sequential API/03. Activation functions- Pitfalls to avoid in Backpropagation.mp4 18.9 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/04. Regularization- Dropout.mp4 18.3 MB
06. Summary/01. Course Summary.mp4 17.0 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/02. Regularization- The Basics.mp4 16.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/12. Training on Large Datasets with tf.data API.mp4 14.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/02. Working in-memory and with files.mp4 13.2 MB
02. Introduction to TensorFlow/02. TensorFlow API Hierarchy.mp4 12.4 MB
02. Introduction to TensorFlow/05. Getting Started With GCP And Qwiklabs.mp4 11.3 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/03. Regularization- L1, L2, and Early Stopping.mp4 10.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/05. Serving models in the Cloud.mp4 9.6 MB
03. Design and Build a TensorFlow Input Data Pipeline/01. Overview.mp4 7.5 MB
01. Introduction to course/01. Intro to Course.mp4 6.2 MB
05. Training neural networks with Tensorflow 2 and Keras Functional API/06. Lab intro Keras Functional API.mp4 4.1 MB
03. Design and Build a TensorFlow Input Data Pipeline/15. Optional Lab Intro Feature Analysis Using TensorFlow Data Validation and Facets.mp4 3.0 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/84 - Building API with Fastapi.mp4 707.7 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/52 - Experiment Tracking.mp4 492.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/4 - Initialization and Casting.mp4 426.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/57 - Modeling and Training.mp4 390.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/7 - Linear Algebra Operations.mp4 389.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/13 - Modern Convolutional Neural Networks/62 - resnet.mp4 368.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/4 - Building convnets with tensorflow/25 - How and Why Convolutional Neural Networks Work.mp4 365.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 360.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 345.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/8 - Common Methods.mp4 313.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/59 - Tensorflow records.mp4 307.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/10 - Tensorboard integration with TensorFlow 2/48 - Log data.mp4 301.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/3 - PREREQUISCITE Building neural networks with Tensorflow/14 - Data Preparation.mp4 289.8 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/79 - Understanding quantization.mp4 281.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/9 - Advanced Tensorflow/47 - Custom Training Loops in TensorFlow 2.mp4 246.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/15 - Understanding the blackbox/69 - gradcam method.mp4 237.8 MB
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磁力链接
Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB
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5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 29.7 MB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 26.4 MB
6. Mitigation Techniques/1. Techniques and Metrics.mp4 17.3 MB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.8 MB
4. Definition and Anomaly Types/1. Taxonomy.mp4 14.8 MB
4. Definition and Anomaly Types/2. Real Data.mp4 13.5 MB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.8 MB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.6 MB
2. Introduction/2. Summary.mp4 8.9 MB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.6 MB
2. Introduction/3. Statistical Methods.mp4 7.3 MB
3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.4 MB
1. Course Overview/1. Course Overview.mp4 4.0 MB
2. Introduction/4. Prerequisites.mp4 3.9 MB
2. Introduction/1. Introduction.mp4 3.4 MB
exercise.7z 1.9 MB
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 14.0 kB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13.8 kB
6. Mitigation Techniques/1. Techniques and Metrics.vtt 11.2 kB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8.9 kB
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~Get Your Files Here !/3 - Building Classification Models with CNNS/7 - Classification Problem Binomial Response Building the Model.mp4 162.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/12 - Data Preparation.mp4 139.2 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/31 - Data Preparation.mp4 134.7 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/34 - Making Predictions on New Data.mp4 110.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/8 - Classification Problem Binomial Response Making Predictions.mp4 97.8 MB
~Get Your Files Here !/1 - Getting Started/1 - Introduction.mp4 89.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/11 - Classification Problem Multinomial Response Making Predictions.mp4 85.8 MB
~Get Your Files Here !/5 - Recognizing Animals/25 - Recognizing Bears Foxes and Mice Making Predictions.mp4 82.0 MB
~Get Your Files Here !/5 - Recognizing Animals/17 - Recognizing Bears From Foxes Data Preparation.mp4 75.9 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/15 - Making Predictions in the Test Set.mp4 75.6 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/13 - Creating the Training Set and the Test Set.mp4 72.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/6 - Classification Problem Binomial Response Data Preparation.mp4 66.9 MB
~Get Your Files Here !/5 - Recognizing Animals/22 - Recognizing Bears Foxes and Mice Data Preparation.mp4 65.2 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/10 - Classification Problem Multinomial Response Building the Model.mp4 62.3 MB
~Get Your Files Here !/5 - Recognizing Animals/20 - Recognizing Bears From Foxes Making Predictions.mp4 56.7 MB
~Get Your Files Here !/5 - Recognizing Animals/19 - Recognizing Bears From Foxes Building the Model.mp4 50.4 MB
~Get Your Files Here !/5 - Recognizing Animals/26 - Recognizing Bears Foxes and Mice Making Predictions on New Data.mp4 48.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/9 - Classification Problem Multinomial Response Data Preparation.mp4 48.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/14 - Building the Model.mp4 47.7 MB
~Get Your Files Here !/5 - Recognizing Animals/18 - Recognizing Bears From Foxes Training Set and Test Set.mp4 45.7 MB
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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB
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~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/36 - Preprocessing the Text Data.mp4 181.8 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/2 - Scenario of Perceptron.mp4 165.6 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/5 - Initializing the Model.mp4 148.7 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/13 - Advance Concept of Transfer Learning Part 1.mp4 147.1 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/24 - Installation of Tensorflow.mp4 139.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/11 - Listing Directories.mp4 115.5 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/40 - Loading Features for Train and Test Dataset.mp4 114.1 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/18 - Load Data Pretrained Mode.mp4 100.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/49 - Deploy Streamlit on AWS EC2 Instance.mp4 100.0 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/25 - Basic Data Types for Tensorflow.mp4 99.2 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/28 - Optimization of Variable.mp4 96.3 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/37 - PreProcess and Load Captions Data.mp4 88.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/9 - Classifying the Photos of Dogs and Cats.mp4 88.3 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/17 - Package Installation.mp4 85.3 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/14 - Advance Concept of Transfer Learning Part 2.mp4 82.8 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/45 - Test the Model.mp4 81.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/1 - Overview of DLUT.mp4 76.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/34 - Accessing the Caption Dataset for Training.mp4 76.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/3 - Creating Neural Network Using TensorFlow.mp4 76.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/12 - Import Image Data Generator.mp4 75.6 MB
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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB
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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 296.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 262.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4 248.9 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 228.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 226.8 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 217.9 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 209.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 207.9 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 206.9 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 202.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 195.0 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 193.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4 191.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 191.0 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 190.7 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 190.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 188.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 181.7 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 180.0 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 176.5 MB
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