[Coursera] IBM AI Engineering Professional Certificate (2021)

磁力链接/BT种子名称

[Coursera] IBM AI Engineering Professional Certificate (2021)

磁力链接/BT种子简介

种子哈希：3298910d448d2df2c23ec4118eaf9106f4bb9aab
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最近下载：2025-09-27

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文件列表

  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/01_course-introduction/02_what-is-big-data.mp4 51.5 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/01_introduction-to-apache-sparkml/02_introduction-to-sparkml.mp4 50.3 MB
  • 01 Machine Learning with Python/06_final-project/01_final-project/02_optional-sharing-notebooks-on-watson-studio.mp4 23.4 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/02_data-visualization-of-big-data/01_plotting-with-apachespark-and-pythons-matplotlib.mp4 23.2 MB
  • 01 Machine Learning with Python/03_classification/03_logistic-regression/02_logistic-regression-vs-linear-regression.mp4 22.8 MB
  • 01 Machine Learning with Python/03_classification/03_logistic-regression/03_logistic-regression-training.mp4 21.9 MB
  • 05 Building Deep Learning Models with TensorFlow/02_supervised-learning-models/01_convolutional-neural-networks/03_convolutional-neural-networks-cnns-architecture.mp4 21.1 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/05_covariance-covariance-matrices-correlation.mp4 21.0 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/01_course-introduction/01_introduction-to-apache-spark-for-machine-learning-on-bigdata.mp4 20.9 MB
  • 01 Machine Learning with Python/02_regression/01_linear-regression/05_multiple-linear-regression.mp4 20.8 MB
  • 01 Machine Learning with Python/02_regression/01_linear-regression/02_simple-linear-regression.mp4 19.3 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/02_1-1-tensors-1d/01_1-1-tensors-1d.mp4 18.6 MB
  • 01 Machine Learning with Python/03_classification/02_decision-trees/02_building-decision-trees.mp4 16.4 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/02_data-visualization-of-big-data/04_pca.mp4 15.5 MB
  • 01 Machine Learning with Python/04_clustering/01_k-means-clustering/02_intro-to-k-means.mp4 15.5 MB
  • 01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/02_introduction-to-machine-learning.mp4 14.7 MB
  • 04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/04_5-3-logistic-regressioncross-entropy-loss/01_logistic-regression-cross-entropy-loss.mp4 14.6 MB
  • 01 Machine Learning with Python/03_classification/01_k-nearest-neighbours/02_k-nearest-neighbours.mp4 14.1 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/04_week-4-supervised-and-unsupervised-learning-with-sparkml/01_supervised-learning-with-apache-sparkml/02_linearregression-with-apache-sparkml.mp4 14.0 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/01_7-1-neural-networks-in-one-dimension/01_whats-a-neural-network.mp4 13.9 MB
  • 01 Machine Learning with Python/02_regression/01_linear-regression/03_model-evaluation-in-regression-models.mp4 13.8 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/03_1-2-two-dimensional-tensors/01_1-2-two-dimensional-tensors.mp4 13.8 MB
  • 01 Machine Learning with Python/03_classification/04_support-vector-machine/01_support-vector-machine.mp4 13.2 MB
  • 05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/04_deep-neural-networks.mp4 13.2 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/02_artificial-neural-networks/01_training-a-neural-network/02_backpropagation.mp4 13.1 MB
  • 01 Machine Learning with Python/04_clustering/01_k-means-clustering/01_intro-to-clustering.mp4 13.1 MB
  • 01 Machine Learning with Python/03_classification/03_logistic-regression/01_intro-to-logistic-regression.mp4 12.4 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/01_2-1-linear-regression-in-1d-prediction/01_2-1-linear-regression-prediction.mp4 12.2 MB
  • 04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/01_5-0-linear-classier-and-logistic-regression/01_5-0-linear-classifiers.mp4 12.2 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/02_understanding-how-apache-spark-works/06_resilient-distributed-dataset-and-dataframes-apachesparksql.mp4 12.1 MB
  • 04 Deep Neural Networks with PyTorch/04_multiple-input-output-linear-regression/01_4-1-multiple-linear-regression-prediction/01_multiple-linear-regression-prediction.mp4 11.7 MB
  • 01 Machine Learning with Python/02_regression/02_non-linear-regression/01_non-linear-regression.mp4 11.6 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/01_9-1-convolution/01_9-1-convolution.mp4 11.6 MB
  • 01 Machine Learning with Python/04_clustering/03_density-based-clustering/01_dbscan.mp4 11.5 MB
  • 05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/01_introduction-to-tensorflow.mp4 11.1 MB
  • 01 Machine Learning with Python/05_recommender-systems/01_content-based-recommendation-engines/03_collaborative-filtering.mp4 10.9 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/04_8-4-gradient-descent-with-momentum/01_8-4-gradient-descent-with-momentum.mp4 10.9 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/02_8-2-dropout/01_8-2-dropout.mp4 10.7 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/02_understanding-how-apache-spark-works/02_parallel-data-processing-strategies-of-apache-spark.mp4 10.6 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/05_7-5-backpropagation/01_7-5-backpropagation.mp4 10.4 MB
  • 04 Deep Neural Networks with PyTorch/06_softmax-rergresstion/01_6-1-softmax-prediction/01_6-1-softmax.mp4 10.4 MB
  • 01 Machine Learning with Python/03_classification/01_k-nearest-neighbours/03_evaluation-metrics-in-classification.mp4 10.4 MB
  • 01 Machine Learning with Python/04_clustering/02_hierarchical-clustering/01_intro-to-hierarchical-clustering.mp4 10.4 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/05_1-4-simple-dataset/01_1-3-simple-dataset.mp4 10.3 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/05_8-5-batch-batch-normalization/01_batch-normalization.mp4 10.3 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/04_week-4-supervised-and-unsupervised-learning-with-sparkml/01_supervised-learning-with-apache-sparkml/04_logisticregression-with-apache-sparkml.mp4 10.2 MB
  • 04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/01_3-1-stochastic-gradient-descent-and-the-data-loader/01_stochastic-gradient-descentaddsub.mp4 10.0 MB
  • 01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/04_supervised-vs-unsupervised.mp4 10.0 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/03_8-3-neural-network-initialization-weights/01_8-3-neural-network-initialization-weights.mp4 9.8 MB
  • 01 Machine Learning with Python/04_clustering/02_hierarchical-clustering/02_more-on-hierarchical-clustering.mp4 9.6 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/01_averages.mp4 9.6 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/02_understanding-how-apache-spark-works/04_functional-programming-basics.mp4 9.3 MB
  • 01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/03_python-for-machine-learning.mp4 9.2 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/03_keras-and-deep-learning-libraries/02_regression-with-keras/01_regression-models-with-keras.mp4 9.2 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/01_introduction-to-apache-sparkml/03_extract-transform-load.mp4 9.1 MB
  • 04 Deep Neural Networks with PyTorch/06_softmax-rergresstion/03_6-3-softmax-pytorch/01_softmax-pytorch.mp4 9.0 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/03_9-3-multiple-input-and-output-channels/01_9-3-multiple-input-and-output-channels.mp4 9.0 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/04_week-4-supervised-and-unsupervised-learning-with-sparkml/01_supervised-learning-with-apache-sparkml/01_linear-regression.mp4 8.9 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/04_7-4-multi-class-neural-networks/01_7-4-multi-class-neural-networks.mp4 8.9 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/05_2-5-linear-regression-training/01_pytorch-linear-regression-training-slope-and-bias.mp4 8.8 MB
  • 01 Machine Learning with Python/06_final-project/01_final-project/01_optional-signing-up-for-a-watson-studio-account.mp4 8.8 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/04_9-4-convolutional-neural-network/01_9-4-1-convolutional-neural-network.mp4 8.8 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/04_deep-learning-models/02_supervised-learning-models/01_convolutional-neural-networks.mp4 8.8 MB
  • 04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/02_5-1-logistic-regression-prediction/01_5-1-logistic-regression-prediction.mp4 8.7 MB
  • 01 Machine Learning with Python/05_recommender-systems/01_content-based-recommendation-engines/02_content-based-recommender-systems.mp4 8.5 MB
  • 05 Building Deep Learning Models with TensorFlow/03_supervised-learning-models-cont-d/01_recurrent-neural-networks/04_language-modelling.mp4 8.5 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/03_keras-and-deep-learning-libraries/03_classification-with-keras/01_classification-models-with-keras.mp4 8.5 MB
  • 05 Building Deep Learning Models with TensorFlow/05_unsupervised-deep-learning-models-cont-d-and-scaling/01_autoencoders/01_introduction-to-autoencoders.mp4 8.4 MB
  • 05 Building Deep Learning Models with TensorFlow/03_supervised-learning-models-cont-d/01_recurrent-neural-networks/02_recurrent-neural-networks-rnns.mp4 8.2 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/02_understanding-how-apache-spark-works/01_data-storage-solutions.mp4 8.1 MB
  • 04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/03_5-2-bernoulli-distribution-maximum-likelihood-estimation/01_bernoulli-distribution-and-maximum-likelihood-estimation.mp4 7.9 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/01_8-1-deep-neural-networks/01_8-1-1-deep-neural-networks.mp4 7.9 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/03_7-3-neural-networks-with-multiple-dimensional-input/01_neural-networks-with-multiple-dimensional-input.mp4 7.9 MB
  • 04 Deep Neural Networks with PyTorch/04_multiple-input-output-linear-regression/02_4-2-multiple-output-linear-regression/01_linear-regression-multiple-outputs.mp4 7.8 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/04_1-3-derivatives-in-pytorch/01_differentiation-in-pytorch.mp4 7.6 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/02_artificial-neural-networks/01_training-a-neural-network/01_gradient-descent.mp4 7.5 MB
  • 01 Machine Learning with Python/05_recommender-systems/01_content-based-recommendation-engines/01_intro-to-recommender-systems.mp4 7.4 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/01_introduction-to-neural-networks-and-deep-learning/04_neural-networks-making-predictions/02_artificial-neural-networks.mp4 7.4 MB
  • 01 Machine Learning with Python/02_regression/01_linear-regression/01_introduction-to-regression.mp4 7.3 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/02_data-visualization-of-big-data/03_dimensionality-reduction.mp4 7.3 MB
  • 01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/01_welcome.mp4 7.3 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/02_unsupervised-learning-with-apache-sparkml/01_introduction-to-clustering-k-means.mp4 7.2 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/04_2-4-pytorch-slope/01_linear-regression-pytoch.mp4 7.1 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/03_skewness.mp4 7.1 MB
  • 05 Building Deep Learning Models with TensorFlow/05_unsupervised-deep-learning-models-cont-d-and-scaling/01_autoencoders/02_autoencoders.mp4 7.0 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/02_artificial-neural-networks/01_training-a-neural-network/04_activation-functions.mp4 7.0 MB
  • 05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/02_tensorflow-2-x-and-eager-execution.mp4 6.9 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/01_introduction-to-neural-networks-and-deep-learning/03_introduction-to-deep-learning/01_introduction-to-deep-learning.mp4 6.7 MB
  • 01 Machine Learning with Python/03_classification/01_k-nearest-neighbours/01_introduction-to-classification.mp4 6.6 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/03_2-3-gradient-descent-and-cost/01_gradient-descent.mp4 6.5 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/01_introduction-to-apache-sparkml/01_how-ml-pipelines-work.mp4 6.4 MB
  • 01 Machine Learning with Python/03_classification/02_decision-trees/01_introduction-to-decision-trees.mp4 6.3 MB
  • 05 Building Deep Learning Models with TensorFlow/02_supervised-learning-models/01_convolutional-neural-networks/02_convolutional-neural-networks-cnns-for-classification.mp4 6.3 MB
  • 05 Building Deep Learning Models with TensorFlow/04_unsupervised-deep-learning-models/01_restricted-boltzmann-machines/02_restricted-boltzmann-machines-rbms.mp4 6.2 MB
  • 04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/04_3-4-training-validation-and-test-split/01_training-validation-and-test-split.mp4 6.1 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/02_standard-deviation.mp4 6.1 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/06_1-5-dataset/01_1-5-dataset.mp4 5.8 MB
  • 05 Building Deep Learning Models with TensorFlow/03_supervised-learning-models-cont-d/01_recurrent-neural-networks/03_the-long-short-term-memory-lstm-model.mp4 5.8 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/06_7-6-activation-functions/01_7-5-activation-functions.mp4 5.8 MB
  • 01 Machine Learning with Python/04_clustering/01_k-means-clustering/03_more-on-k-means.mp4 5.7 MB
  • 04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/02_3-2-mini-batch-gradient-descent/01_mini-batch-gradient-descent.mp4 5.4 MB
  • 04 Deep Neural Networks with PyTorch/06_softmax-rergresstion/02_6-2-softmax-function/01_6-2-softmax-function-using-lines-to-classify-data.mp4 5.4 MB
  • 05 Building Deep Learning Models with TensorFlow/02_supervised-learning-models/01_convolutional-neural-networks/01_introduction-to-convolutional-neural-networks-cnns.mp4 5.4 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/01_introduction-to-neural-networks-and-deep-learning/04_neural-networks-making-predictions/01_neurons-and-neural-networks.mp4 5.3 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/03_keras-and-deep-learning-libraries/01_deep-learning-libraries/01_deep-learning-libraries.mp4 5.3 MB
  • 04 Deep Neural Networks with PyTorch/08_deep-networks/01_8-1-deep-neural-networks/02_8-1-2-deeper-neural-networks-nn-modulelist.mp4 5.3 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/02_2-2-linear-regression-training/02_loss.mp4 5.2 MB
  • 04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/04_3-4-training-validation-and-test-split/02_training-validation-and-test-split-pytorch.mp4 5.2 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/02_unsupervised-learning-with-apache-sparkml/02_using-k-means-in-apache-sparkml.mp4 5.2 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/02_9-2-activation-functions-and-max-polling/01_9-2-activation-functions-and-max-polling.mp4 5.0 MB
  • 04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/01_1-0-overview-of-tensors/01_1-0-overview-of-tensors.mp4 5.0 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/02_2-2-linear-regression-training/01_2-1-linear-regression-training.mp4 4.9 MB
  • 05 Building Deep Learning Models with TensorFlow/04_unsupervised-deep-learning-models/01_restricted-boltzmann-machines/01_introduction-to-restricted-boltzmann-machines.mp4 4.9 MB
  • 01 Machine Learning with Python/02_regression/01_linear-regression/04_evaluation-metrics-in-regression-models.mp4 4.8 MB
  • 05 Building Deep Learning Models with TensorFlow/03_supervised-learning-models-cont-d/01_recurrent-neural-networks/01_the-sequential-problem.mp4 4.7 MB
  • 04 Deep Neural Networks with PyTorch/02_linear-regression/03_2-3-gradient-descent-and-cost/02_cost.mp4 4.5 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/04_deep-learning-models/01_shallow-versus-deep-neural-networks/01_shallow-versus-deep-neural-networks.mp4 4.5 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/04_kurtosis.mp4 4.4 MB
  • 04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/02_7-2-neural-networks-more-hidden-neurons/01_more-hidden-neurons.mp4 4.4 MB
  • 04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/03_3-3-optimization-in-pytorch/01_optimization-in-pytorch.mp4 4.3 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/04_9-4-convolutional-neural-network/02_9-4-2-convolutional-neural-network.mp4 4.2 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/05_9-5-torch-vision-models/01_torch-vision-models.mp4 4.2 MB
  • 06 AI Capstone Project with Deep Learning/04_module-4/01_pytorch-pre-trained-models-with-resnet-18/01_pre-trained-models-with-resnet-18-review-pytorch.mp4 4.2 MB
  • 06 AI Capstone Project with Deep Learning/01_module-1-loading-data/01_introduction/01_introduction.mp4 4.2 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/04_deep-learning-models/03_unsupervised-learning-models/01_autoencoders.mp4 4.1 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/01_introduction-to-neural-networks-and-deep-learning/02_welcome/01_welcome.mp4 4.1 MB
  • 04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/04_9-4-convolutional-neural-network/03_gpu-in-pytorch.mp4 3.9 MB
  • 04 Deep Neural Networks with PyTorch/04_multiple-input-output-linear-regression/01_4-1-multiple-linear-regression-prediction/02_multiple-linear-regression-training.mp4 3.9 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/04_deep-learning-models/02_supervised-learning-models/02_recurrent-neural-networks.mp4 3.9 MB
  • 06 AI Capstone Project with Deep Learning/01_module-1-loading-data/04_keras-loading-data/01_keras-stream.mp4 3.8 MB
  • 02 Scalable Machine Learning on Big Data using Apache Spark/04_week-4-supervised-and-unsupervised-learning-with-sparkml/01_supervised-learning-with-apache-sparkml/03_logistic-regression.mp4 3.5 MB
  • 05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/03_introduction-to-deep-learning.mp4 3.1 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/02_artificial-neural-networks/01_training-a-neural-network/03_vanishing-gradient.mp4 2.7 MB
  • 05 Building Deep Learning Models with TensorFlow/01_introduction/02_welcome/01_welcome.mp4 2.6 MB
  • 06 AI Capstone Project with Deep Learning/03_module-3/01_pytorch-linear-classifier/01_linear-classifier-pytorch-review.mp4 2.6 MB
  • 06 AI Capstone Project with Deep Learning/02_module-2/01_pytorch-data-preparation/01_2-0-data-preparation-with-pytorch.mp4 2.5 MB
  • 02 Introduction to Deep Learning & Neural Networks with Keras/05_course-project/01_summary/01_summary.mp4 2.3 MB
  • 04 Deep Neural Networks with PyTorch/04_multiple-input-output-linear-regression/02_4-2-multiple-output-linear-regression/02_multiple-output-linear-regression-training.mp4 2.2 MB
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