Udemy 2025 Tensorflow Deep Learning Artificial Intelligence 2025 | 32A46C64DFA1F6F0218EDB893777F926905FD602

Udemy 2025 Tensorflow Deep Learning Artificial Intelligence 2025

Name	Udemy - [2025] Tensorflow 2 Deep Learning & Artificial Intelligence (1.2025)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	9.9 GB
Total Files	585
Last Seen	2025-07-18 01:30
Hash	32A46C64DFA1F6F0218EDB893777F926905FD602

/1 - Welcome/
1 -Introduction.mp4	29.5 MB
1 -Introduction.vtt	5.2 KB
2 -Outline.mp4	47.3 MB
2 -Outline.vtt	15.5 KB
3 -Code Link.url	0.1 KB
3 -Data Links.url	0.1 KB
3 -Github Link.url	0.1 KB
3 -Where to get the code, notebooks, and data.mp4	21.4 MB
3 -Where to get the code, notebooks, and data.vtt	5.7 KB
/1 - Welcome/subtitles/
1 -Introduction.es_ES.vtt	5.5 KB
1 -Introduction.ko_KR.vtt	5.0 KB
2 -Outline.es_ES.vtt	16.8 KB
2 -Outline.ko_KR.vtt	15.6 KB
3 -Where to get the code, notebooks, and data.es_ES.vtt	5.8 KB
3 -Where to get the code, notebooks, and data.ko_KR.vtt	5.6 KB
/2 - Google Colab/
1 -Intro to Google Colab, how to use a GPU or TPU for free.mp4	87.3 MB
1 -Intro to Google Colab, how to use a GPU or TPU for free.vtt	12.7 KB
2 -Tensorflow 2 in Google Colab.mp4	70.3 MB
2 -Tensorflow 2 in Google Colab.vtt	8.5 KB
3 -Uploading your own data to Google Colab.mp4	119.2 MB
3 -Uploading your own data to Google Colab.vtt	10.7 KB
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4	43.9 MB
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.vtt	13.0 KB
5 -How to Succeed in This Course.mp4	10.9 MB
5 -How to Succeed in This Course.vtt	4.0 KB
6 -Temporary 403 Errors.mp4	31.3 MB
6 -Temporary 403 Errors.vtt	3.3 KB
7 -Course Updates.mp4	12.2 MB
7 -Course Updates.vtt	5.4 KB
/2 - Google Colab/subtitles/
1 -Intro to Google Colab, how to use a GPU or TPU for free.es_ES.vtt	13.8 KB
1 -Intro to Google Colab, how to use a GPU or TPU for free.ko_KR.vtt	13.0 KB
2 -Tensorflow 2 in Google Colab.es_ES.vtt	9.0 KB
2 -Tensorflow 2 in Google Colab.ko_KR.vtt	8.6 KB
3 -Uploading your own data to Google Colab.es_ES.vtt	11.9 KB
3 -Uploading your own data to Google Colab.ko_KR.vtt	10.9 KB
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.es_ES.vtt	13.9 KB
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.ko_KR.vtt	12.8 KB
5 -How to Succeed in This Course.es_ES.vtt	4.3 KB
5 -How to Succeed in This Course.ko_KR.vtt	4.0 KB
6 -Temporary 403 Errors.es_ES.vtt	3.5 KB
6 -Temporary 403 Errors.ko_KR.vtt	3.3 KB
7 -Course Updates.es_ES.vtt	5.8 KB
7 -Course Updates.ko_KR.vtt	6.3 KB
/3 - Machine Learning and Neurons/
1 -What is Machine Learning.mp4	57.3 MB
1 -What is Machine Learning.vtt	16.6 KB
2 -Code Preparation (Classification Theory).vtt	18.2 KB
3 -Classification Notebook.mp4	193.8 MB
3 -Classification Notebook.vtt	24.1 KB
4 -Code Preparation (Regression Theory).mp4	20.8 MB
4 -Code Preparation (Regression Theory).vtt	8.1 KB
5 -Regression Notebook.mp4	259.7 MB
5 -Regression Notebook.vtt	30.3 KB
6 -The Neuron.mp4	32.7 MB
6 -The Neuron.vtt	11.2 KB
7 -How does a model learn.mp4	36.6 MB
7 -How does a model learn.vtt	12.6 KB
8 -Making Predictions.mp4	34.4 MB
8 -Making Predictions.vtt	7.2 KB
9 -Saving and Loading a Model.mp4	49.4 MB
9 -Saving and Loading a Model.vtt	4.4 KB
10 -Why Keras.mp4	23.8 MB
10 -Why Keras.vtt	5.2 KB
11 -Suggestion Box.mp4	45.6 MB
11 -Suggestion Box.vtt	4.2 KB
/subtitles/
1 -What is Machine Learning.es_ES.vtt	17.7 KB
1 -What is Machine Learning.ko_KR.vtt	16.4 KB
2 -Code Preparation (Classification Theory).es_ES.vtt	19.5 KB
2 -Code Preparation (Classification Theory).ko_KR.vtt	18.1 KB
3 -Classification Notebook.es_ES.vtt	25.6 KB
3 -Classification Notebook.ko_KR.vtt	23.6 KB
4 -Code Preparation (Regression Theory).es_ES.vtt	8.8 KB
4 -Code Preparation (Regression Theory).ko_KR.vtt	7.9 KB
5 -Regression Notebook.es_ES.vtt	32.0 KB
5 -Regression Notebook.ko_KR.vtt	29.2 KB
6 -The Neuron.es_ES.vtt	11.8 KB
6 -The Neuron.ko_KR.vtt	10.8 KB
7 -How does a model learn.es_ES.vtt	13.5 KB
7 -How does a model learn.ko_KR.vtt	12.6 KB
8 -Making Predictions.es_ES.vtt	7.9 KB
8 -Making Predictions.ko_KR.vtt	6.9 KB
9 -Saving and Loading a Model.es_ES.vtt	4.9 KB
9 -Saving and Loading a Model.ko_KR.vtt	4.4 KB
10 -Why Keras.es_ES.vtt	5.6 KB
10 -Why Keras.ko_KR.vtt	5.2 KB
11 -Suggestion Box.es_ES.vtt	4.4 KB
11 -Suggestion Box.ko_KR.vtt	4.0 KB
/4 - Feedforward Artificial Neural Networks/
1 -Artificial Neural Networks Section Introduction.mp4	22.0 MB
1 -Artificial Neural Networks Section Introduction.vtt	7.1 KB
2 -Beginners Rejoice The Math in This Course is Optional.mp4	61.3 MB
2 -Beginners Rejoice The Math in This Course is Optional.vtt	15.9 KB
3 -Forward Propagation.mp4	30.9 MB
3 -Forward Propagation.vtt	10.9 KB
4 -The Geometrical Picture.mp4	34.4 MB
4 -The Geometrical Picture.vtt	10.4 KB
5 -Activation Functions.mp4	59.8 MB
5 -Activation Functions.vtt	20.3 KB
6 -Multiclass Classification.mp4	36.5 MB
6 -Multiclass Classification.vtt	9.9 KB
7 -How to Represent Images.mp4	51.2 MB
7 -How to Represent Images.vtt	14.0 KB
8 -Color Mixing Clarification.mp4	3.2 MB
8 -Color Mixing Clarification.vtt	1.0 KB
9 -Code Preparation (ANN).mp4	39.0 MB
9 -Code Preparation (ANN).vtt	14.6 KB
10 -ANN for Image Classification.mp4	68.2 MB
10 -ANN for Image Classification.vtt	8.9 KB
11 -ANN for Regression.mp4	114.2 MB
11 -ANN for Regression.vtt	11.5 KB
/subtitles/
1 -Artificial Neural Networks Section Introduction.es_ES.vtt	7.5 KB
1 -Artificial Neural Networks Section Introduction.ko_KR.vtt	6.8 KB
2 -Beginners Rejoice The Math in This Course is Optional.es_ES.vtt	16.5 KB
2 -Beginners Rejoice The Math in This Course is Optional.ko_KR.vtt	15.6 KB
3 -Forward Propagation.es_ES.vtt	11.6 KB
3 -Forward Propagation.ko_KR.vtt	10.6 KB
4 -The Geometrical Picture.es_ES.vtt	11.5 KB
4 -The Geometrical Picture.ko_KR.vtt	10.1 KB
5 -Activation Functions.es_ES.vtt	21.5 KB
5 -Activation Functions.ko_KR.vtt	19.6 KB
6 -Multiclass Classification.es_ES.vtt	10.6 KB
6 -Multiclass Classification.ko_KR.vtt	10.0 KB
7 -How to Represent Images.es_ES.vtt	15.0 KB
7 -How to Represent Images.ko_KR.vtt	13.7 KB
8 -Color Mixing Clarification.es_ES.vtt	1.1 KB
8 -Color Mixing Clarification.ko_KR.vtt	1.1 KB
9 -Code Preparation (ANN).es_ES.vtt	15.8 KB
9 -Code Preparation (ANN).ko_KR.vtt	14.4 KB
10 -ANN for Image Classification.es_ES.vtt	9.5 KB
10 -ANN for Image Classification.ko_KR.vtt	8.5 KB
11 -ANN for Regression.es_ES.vtt	12.1 KB
11 -ANN for Regression.ko_KR.vtt	11.3 KB
/5 - Interlude tf.data/
1 -Why use tf.data.mp4	14.4 MB
2 -Sample Code for tf.data.mp4	154.2 MB
2 -Sample Code for tf.data.vtt	23.1 KB
/subtitles/
1 -Why use tf.data.es_ES.vtt	5.7 KB
1 -Why use tf.data.ko_KR.vtt	5.5 KB
2 -Sample Code for tf.data.es_ES.vtt	25.2 KB
2 -Sample Code for tf.data.ko_KR.vtt	22.9 KB
/6 - Convolutional Neural Networks/
1 -What is Convolution (part 1).mp4	52.4 MB
1 -What is Convolution (part 1).vtt	18.0 KB
2 -What is Convolution (part 2).mp4	17.5 MB
2 -What is Convolution (part 2).vtt	6.5 KB
3 -What is Convolution (part 3).mp4	20.2 MB
3 -What is Convolution (part 3).vtt	7.2 KB
4 -Convolution on Color Images.mp4	54.9 MB
4 -Convolution on Color Images.vtt	18.8 KB
5 -CNN Architecture.mp4	71.6 MB
5 -CNN Architecture.vtt	25.0 KB
6 -CNN Code Preparation.mp4	68.1 MB
6 -CNN Code Preparation.vtt	17.6 KB
7 -CNN for Fashion MNIST.mp4	59.8 MB
7 -CNN for Fashion MNIST.vtt	7.2 KB
8 -CNN for CIFAR-10.mp4	21.0 MB
8 -CNN for CIFAR-10.vtt	4.9 KB
9 -Data Augmentation.mp4	26.9 MB
9 -Data Augmentation.vtt	10.1 KB
10 -Batch Normalization.mp4	15.8 MB
10 -Batch Normalization.vtt	5.9 KB
11 -Improving CIFAR-10 Results.mp4	254.3 MB
11 -Improving CIFAR-10 Results.vtt	20.2 KB
/subtitles/
1 -What is Convolution (part 1).es_ES.vtt	19.5 KB
1 -What is Convolution (part 1).ko_KR.vtt	18.2 KB
2 -What is Convolution (part 2).es_ES.vtt	6.7 KB
2 -What is Convolution (part 2).ko_KR.vtt	6.2 KB
3 -What is Convolution (part 3).es_ES.vtt	7.7 KB
3 -What is Convolution (part 3).ko_KR.vtt	7.1 KB
4 -Convolution on Color Images.es_ES.vtt	20.2 KB
4 -Convolution on Color Images.ko_KR.vtt	18.1 KB
5 -CNN Architecture.es_ES.vtt	27.2 KB
5 -CNN Architecture.ko_KR.vtt	24.8 KB
6 -CNN Code Preparation.es_ES.vtt	18.8 KB
6 -CNN Code Preparation.ko_KR.vtt	17.5 KB
7 -CNN for Fashion MNIST.es_ES.vtt	7.8 KB
7 -CNN for Fashion MNIST.ko_KR.vtt	6.7 KB
8 -CNN for CIFAR-10.es_ES.vtt	5.4 KB
8 -CNN for CIFAR-10.ko_KR.vtt	4.9 KB
9 -Data Augmentation.es_ES.vtt	10.8 KB
9 -Data Augmentation.ko_KR.vtt	10.0 KB
10 -Batch Normalization.es_ES.vtt	6.3 KB
10 -Batch Normalization.ko_KR.vtt	5.8 KB
11 -Improving CIFAR-10 Results.es_ES.vtt	21.9 KB
11 -Improving CIFAR-10 Results.ko_KR.vtt	19.8 KB
/7 - Recurrent Neural Networks, Time Series, and Sequence Data/
1 -Sequence Data.mp4	78.8 MB
1 -Sequence Data.vtt	21.4 KB
2 -Forecasting.mp4	31.8 MB
2 -Forecasting.vtt	11.9 KB
3 -Autoregressive Linear Model for Time Series Prediction.mp4	99.0 MB
3 -Autoregressive Linear Model for Time Series Prediction.vtt	12.7 KB
4 -Proof that the Linear Model Works.mp4	12.0 MB
4 -Proof that the Linear Model Works.vtt	4.1 KB
5 -Recurrent Neural Networks.mp4	63.0 MB
5 -Recurrent Neural Networks.vtt	22.8 KB
6 -RNN Code Preparation.mp4	14.3 MB
6 -RNN Code Preparation.vtt	6.4 KB
7 -RNN for Time Series Prediction.mp4	99.6 MB
7 -RNN for Time Series Prediction.vtt	9.9 KB
8 -Paying Attention to Shapes.mp4	87.8 MB
8 -Paying Attention to Shapes.vtt	8.8 KB
9 -GRU and LSTM (pt 1).mp4	73.8 MB
9 -GRU and LSTM (pt 1).vtt	20.4 KB
10 -GRU and LSTM (pt 2).mp4	35.4 MB
10 -GRU and LSTM (pt 2).vtt	13.0 KB
11 -A More Challenging Sequence.mp4	86.5 MB
11 -A More Challenging Sequence.vtt	8.6 KB
12 -Demo of the Long Distance Problem.mp4	165.6 MB
12 -Demo of the Long Distance Problem.vtt	20.6 KB
13 -RNN for Image Classification (Theory).mp4	21.5 MB
13 -RNN for Image Classification (Theory).vtt	5.4 KB
14 -RNN for Image Classification (Code).mp4	23.2 MB
14 -RNN for Image Classification (Code).vtt	3.7 KB
15 -Stock Return Predictions using LSTMs (pt 1).mp4	89.9 MB
15 -Stock Return Predictions using LSTMs (pt 1).vtt	14.0 KB
16 -Stock Return Predictions using LSTMs (pt 2).mp4	32.2 MB
16 -Stock Return Predictions using LSTMs (pt 2).vtt	5.8 KB
17 -Stock Return Predictions using LSTMs (pt 3).mp4	114.5 MB
17 -Stock Return Predictions using LSTMs (pt 3).vtt	12.9 KB
18 -Other Ways to Forecast.mp4	19.0 MB
18 -Other Ways to Forecast.vtt	6.5 KB
/subtitles/
1 -Sequence Data.es_ES.vtt	23.2 KB
1 -Sequence Data.ko_KR.vtt	20.9 KB
2 -Forecasting.es_ES.vtt	12.8 KB
2 -Forecasting.ko_KR.vtt	11.6 KB
3 -Autoregressive Linear Model for Time Series Prediction.es_ES.vtt	13.9 KB
3 -Autoregressive Linear Model for Time Series Prediction.ko_KR.vtt	12.6 KB
4 -Proof that the Linear Model Works.es_ES.vtt	4.4 KB
4 -Proof that the Linear Model Works.ko_KR.vtt	3.9 KB
5 -Recurrent Neural Networks.es_ES.vtt	24.2 KB
5 -Recurrent Neural Networks.ko_KR.vtt	22.0 KB
6 -RNN Code Preparation.es_ES.vtt	6.9 KB
6 -RNN Code Preparation.ko_KR.vtt	6.6 KB
7 -RNN for Time Series Prediction.es_ES.vtt	10.8 KB
7 -RNN for Time Series Prediction.ko_KR.vtt	9.6 KB
8 -Paying Attention to Shapes.es_ES.vtt	9.6 KB
8 -Paying Attention to Shapes.ko_KR.vtt	8.6 KB
9 -GRU and LSTM (pt 1).es_ES.vtt	21.4 KB
9 -GRU and LSTM (pt 1).ko_KR.vtt	19.6 KB
10 -GRU and LSTM (pt 2).es_ES.vtt	13.2 KB
10 -GRU and LSTM (pt 2).ko_KR.vtt	12.7 KB
11 -A More Challenging Sequence.es_ES.vtt	9.4 KB
11 -A More Challenging Sequence.ko_KR.vtt	8.3 KB
12 -Demo of the Long Distance Problem.es_ES.vtt	22.2 KB
12 -Demo of the Long Distance Problem.ko_KR.vtt	19.9 KB
13 -RNN for Image Classification (Theory).es_ES.vtt	5.8 KB
13 -RNN for Image Classification (Theory).ko_KR.vtt	5.6 KB
14 -RNN for Image Classification (Code).es_ES.vtt	4.3 KB
14 -RNN for Image Classification (Code).ko_KR.vtt	3.8 KB
15 -Stock Return Predictions using LSTMs (pt 1).es_ES.vtt	15.1 KB
15 -Stock Return Predictions using LSTMs (pt 1).ko_KR.vtt	13.6 KB
16 -Stock Return Predictions using LSTMs (pt 2).es_ES.vtt	6.3 KB
16 -Stock Return Predictions using LSTMs (pt 2).ko_KR.vtt	5.6 KB
17 -Stock Return Predictions using LSTMs (pt 3).es_ES.vtt	14.2 KB
17 -Stock Return Predictions using LSTMs (pt 3).ko_KR.vtt	12.5 KB
18 -Other Ways to Forecast.es_ES.vtt	7.0 KB
18 -Other Ways to Forecast.ko_KR.vtt	6.4 KB
/8 - Natural Language Processing (NLP)/
1 -Embeddings.mp4	39.7 MB
1 -Embeddings.vtt	14.5 KB
2 -Code Preparation (NLP).mp4	55.2 MB
2 -Code Preparation (NLP).vtt	16.8 KB
3 -Text Preprocessing.mp4	184.0 MB
3 -Text Preprocessing.vtt	21.3 KB
4 -Text Classification with LSTMs.mp4	372.2 MB
4 -Text Classification with LSTMs.vtt	27.5 KB
5 -CNNs for Text.mp4	26.0 MB
5 -CNNs for Text.vtt	9.0 KB
6 -Text Classification with CNNs.mp4	330.7 MB
6 -Text Classification with CNNs.vtt	25.1 KB
/subtitles/
1 -Embeddings.es_ES.vtt	16.0 KB
1 -Embeddings.ko_KR.vtt	14.3 KB
2 -Code Preparation (NLP).es_ES.vtt	18.0 KB
2 -Code Preparation (NLP).ko_KR.vtt	18.9 KB
3 -Text Preprocessing.es_ES.vtt	23.0 KB
3 -Text Preprocessing.ko_KR.vtt	24.7 KB
4 -Text Classification with LSTMs.es_ES.vtt	30.0 KB
4 -Text Classification with LSTMs.ko_KR.vtt	32.5 KB
5 -CNNs for Text.es_ES.vtt	9.7 KB
5 -CNNs for Text.ko_KR.vtt	8.5 KB
6 -Text Classification with CNNs.es_ES.vtt	27.3 KB
6 -Text Classification with CNNs.ko_KR.vtt	29.5 KB
/9 - Recommender Systems/
1 -Recommender Systems with Deep Learning Theory.mp4	66.3 MB
1 -Recommender Systems with Deep Learning Theory.vtt	15.5 KB
2 -Recommender Systems with Deep Learning Code.mp4	81.8 MB
2 -Recommender Systems with Deep Learning Code.vtt	10.5 KB
/9 - Recommender Systems/subtitles/
1 -Recommender Systems with Deep Learning Theory.es_ES.vtt	17.2 KB
1 -Recommender Systems with Deep Learning Theory.ko_KR.vtt	15.5 KB
2 -Recommender Systems with Deep Learning Code.es_ES.vtt	11.8 KB
2 -Recommender Systems with Deep Learning Code.ko_KR.vtt	10.7 KB
/10 - Transfer Learning for Computer Vision/
1 -Transfer Learning Theory.mp4	75.2 MB
1 -Transfer Learning Theory.vtt	9.6 KB
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4	28.2 MB
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).vtt	6.6 KB
3 -Large Datasets and Data Generators.mp4	27.0 MB
3 -Large Datasets and Data Generators.vtt	7.9 KB
4 -2 Approaches to Transfer Learning.mp4	18.2 MB
4 -2 Approaches to Transfer Learning.vtt	5.4 KB
5 -Transfer Learning Code (pt 1) (Legacy).mp4	91.1 MB
5 -Transfer Learning Code (pt 1) (Legacy).vtt	12.4 KB
6 -Transfer Learning Code (pt 2) (Legacy).mp4	63.3 MB
6 -Transfer Learning Code (pt 2) (Legacy).vtt	9.4 KB
7 -Transfer Learning Code (pt 1).mp4	321.2 MB
7 -Transfer Learning Code (pt 1).vtt	25.7 KB
8 -Transfer Learning Code (pt 2).mp4	313.2 MB
8 -Transfer Learning Code (pt 2).vtt	25.8 KB
/subtitles/
1 -Transfer Learning Theory.es_ES.vtt	10.6 KB
1 -Transfer Learning Theory.ko_KR.vtt	9.3 KB
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).es_ES.vtt	6.9 KB
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).ko_KR.vtt	6.6 KB
3 -Large Datasets and Data Generators.es_ES.vtt	8.6 KB
3 -Large Datasets and Data Generators.ko_KR.vtt	8.0 KB
4 -2 Approaches to Transfer Learning.es_ES.vtt	5.8 KB
4 -2 Approaches to Transfer Learning.ko_KR.vtt	5.6 KB
5 -Transfer Learning Code (pt 1) (Legacy).es_ES.vtt	13.5 KB
5 -Transfer Learning Code (pt 1) (Legacy).ko_KR.vtt	12.3 KB
6 -Transfer Learning Code (pt 2) (Legacy).es_ES.vtt	10.6 KB
6 -Transfer Learning Code (pt 2) (Legacy).ko_KR.vtt	9.2 KB
7 -Transfer Learning Code (pt 1).es_ES.vtt	27.7 KB
7 -Transfer Learning Code (pt 1).ko_KR.vtt	25.2 KB
8 -Transfer Learning Code (pt 2).es_ES.vtt	27.9 KB
8 -Transfer Learning Code (pt 2).ko_KR.vtt	25.4 KB
/11 - GANs (Generative Adversarial Networks)/
1 -GAN Theory.mp4	74.1 MB
1 -GAN Theory.vtt	18.5 KB
2 -GAN Code.mp4	81.6 MB
2 -GAN Code.vtt	13.3 KB
/subtitles/
1 -GAN Theory.es_ES.vtt	19.4 KB
1 -GAN Theory.ko_KR.vtt	18.1 KB
2 -GAN Code.es_ES.vtt	14.8 KB
2 -GAN Code.ko_KR.vtt	13.1 KB
/12 - Deep Reinforcement Learning (Theory)/
1 -Deep Reinforcement Learning Section Introduction.mp4	36.0 MB
1 -Deep Reinforcement Learning Section Introduction.vtt	7.7 KB
2 -Elements of a Reinforcement Learning Problem.mp4	71.8 MB
2 -Elements of a Reinforcement Learning Problem.vtt	23.4 KB
3 -States, Actions, Rewards, Policies.mp4	30.8 MB
3 -States, Actions, Rewards, Policies.vtt	10.2 KB
4 -Markov Decision Processes (MDPs).mp4	34.8 MB
4 -Markov Decision Processes (MDPs).vtt	11.5 KB
5 -The Return.mp4	15.6 MB
5 -The Return.vtt	5.6 KB
6 -Value Functions and the Bellman Equation.mp4	31.5 MB
6 -Value Functions and the Bellman Equation.vtt	11.2 KB
7 -What does it mean to “learn”.mp4	22.8 MB
7 -What does it mean to “learn”.vtt	8.0 KB
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4	31.3 MB
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).vtt	11.5 KB
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4	46.3 MB
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).vtt	13.8 KB
10 -Epsilon-Greedy.mp4	26.7 MB
10 -Epsilon-Greedy.vtt	6.7 KB
11 -Q-Learning.mp4	46.0 MB
11 -Q-Learning.vtt	16.0 KB
12 -Deep Q-Learning DQN (pt 1).mp4	42.5 MB
12 -Deep Q-Learning DQN (pt 1).vtt	14.7 KB
13 -Deep Q-Learning DQN (pt 2).mp4	36.8 MB
13 -Deep Q-Learning DQN (pt 2).vtt	11.9 KB
14 -How to Learn Reinforcement Learning.mp4	46.3 MB
14 -How to Learn Reinforcement Learning.vtt	6.9 KB
/subtitles/
1 -Deep Reinforcement Learning Section Introduction.es_ES.vtt	8.2 KB
1 -Deep Reinforcement Learning Section Introduction.ko_KR.vtt	7.7 KB
2 -Elements of a Reinforcement Learning Problem.es_ES.vtt	24.8 KB
2 -Elements of a Reinforcement Learning Problem.ko_KR.vtt	23.5 KB
3 -States, Actions, Rewards, Policies.es_ES.vtt	11.1 KB
3 -States, Actions, Rewards, Policies.ko_KR.vtt	10.2 KB
4 -Markov Decision Processes (MDPs).es_ES.vtt	12.2 KB
4 -Markov Decision Processes (MDPs).ko_KR.vtt	11.2 KB
5 -The Return.es_ES.vtt	6.0 KB
5 -The Return.ko_KR.vtt	5.8 KB
6 -Value Functions and the Bellman Equation.es_ES.vtt	12.0 KB
6 -Value Functions and the Bellman Equation.ko_KR.vtt	11.0 KB
7 -What does it mean to “learn”.es_ES.vtt	8.7 KB
7 -What does it mean to “learn”.ko_KR.vtt	7.9 KB
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).es_ES.vtt	12.6 KB
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).ko_KR.vtt	11.4 KB
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).es_ES.vtt	15.1 KB
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).ko_KR.vtt	13.4 KB
10 -Epsilon-Greedy.es_ES.vtt	7.1 KB
10 -Epsilon-Greedy.ko_KR.vtt	6.5 KB
11 -Q-Learning.es_ES.vtt	17.4 KB
11 -Q-Learning.ko_KR.vtt	16.5 KB
12 -Deep Q-Learning DQN (pt 1).es_ES.vtt	15.9 KB
12 -Deep Q-Learning DQN (pt 1).ko_KR.vtt	14.7 KB
13 -Deep Q-Learning DQN (pt 2).es_ES.vtt	12.9 KB
13 -Deep Q-Learning DQN (pt 2).ko_KR.vtt	11.9 KB
14 -How to Learn Reinforcement Learning.es_ES.vtt	7.3 KB
14 -How to Learn Reinforcement Learning.ko_KR.vtt	6.8 KB
/13 - Stock Trading Project with Deep Reinforcement Learning/
1 -Reinforcement Learning Stock Trader Introduction.mp4	19.4 MB
1 -Reinforcement Learning Stock Trader Introduction.vtt	6.1 KB
2 -Data and Environment.mp4	39.6 MB
2 -Data and Environment.vtt	14.1 KB
3 -Replay Buffer.mp4	17.4 MB
3 -Replay Buffer.vtt	6.2 KB
4 -Program Design and Layout.mp4	19.6 MB
4 -Program Design and Layout.vtt	7.8 KB
5 -Code pt 1.mp4	57.7 MB
5 -Code pt 1.vtt	6.5 KB
6 -Code pt 2.mp4	64.0 MB
6 -Code pt 2.vtt	10.5 KB
7 -Code pt 3.mp4	75.4 MB
7 -Code pt 3.vtt	7.0 KB
8 -Code pt 4.mp4	90.8 MB
8 -Code pt 4.vtt	7.5 KB
9 -Reinforcement Learning Stock Trader Discussion.mp4	11.7 MB
9 -Reinforcement Learning Stock Trader Discussion.vtt	4.0 KB
10 -Help! Why is the code slower on my machine.mp4	34.6 MB
10 -Help! Why is the code slower on my machine.vtt	10.5 KB
/subtitles/
1 -Reinforcement Learning Stock Trader Introduction.es_ES.vtt	6.5 KB
1 -Reinforcement Learning Stock Trader Introduction.ko_KR.vtt	5.8 KB
2 -Data and Environment.es_ES.vtt	15.0 KB
2 -Data and Environment.ko_KR.vtt	14.0 KB
3 -Replay Buffer.es_ES.vtt	6.8 KB
3 -Replay Buffer.ko_KR.vtt	6.1 KB
4 -Program Design and Layout.es_ES.vtt	8.8 KB
4 -Program Design and Layout.ko_KR.vtt	7.9 KB
5 -Code pt 1.es_ES.vtt	7.1 KB
5 -Code pt 1.ko_KR.vtt	6.5 KB
6 -Code pt 2.es_ES.vtt	11.7 KB
6 -Code pt 2.ko_KR.vtt	10.5 KB
7 -Code pt 3.es_ES.vtt	7.7 KB
7 -Code pt 3.ko_KR.vtt	7.3 KB
8 -Code pt 4.es_ES.vtt	8.6 KB
8 -Code pt 4.ko_KR.vtt	7.5 KB
9 -Reinforcement Learning Stock Trader Discussion.es_ES.vtt	4.3 KB
9 -Reinforcement Learning Stock Trader Discussion.ko_KR.vtt	3.8 KB
10 -Help! Why is the code slower on my machine.es_ES.vtt	11.3 KB
10 -Help! Why is the code slower on my machine.ko_KR.vtt	10.6 KB
/14 - Advanced Tensorflow Usage/
1 -What is a Web Service (Tensorflow Serving pt 1).mp4	20.4 MB
1 -What is a Web Service (Tensorflow Serving pt 1).vtt	6.9 KB
2 -Tensorflow Serving pt 2.mp4	181.2 MB
2 -Tensorflow Serving pt 2.vtt	18.2 KB
3 -Tensorflow Lite (TFLite).mp4	36.4 MB
3 -Tensorflow Lite (TFLite).vtt	9.9 KB
4 -Why is Google the King of Distributed Computing.mp4	32.1 MB
4 -Why is Google the King of Distributed Computing.vtt	10.2 KB
5 -Training with Distributed Strategies.mp4	58.0 MB
5 -Training with Distributed Strategies.vtt	7.7 KB
6 -Using the TPU.mp4	82.6 MB
6 -Using the TPU.vtt	6.3 KB
/subtitles/
1 -What is a Web Service (Tensorflow Serving pt 1).es_ES.vtt	7.6 KB
1 -What is a Web Service (Tensorflow Serving pt 1).ko_KR.vtt	7.1 KB
2 -Tensorflow Serving pt 2.es_ES.vtt	19.8 KB
2 -Tensorflow Serving pt 2.ko_KR.vtt	17.5 KB
3 -Tensorflow Lite (TFLite).es_ES.vtt	10.9 KB
3 -Tensorflow Lite (TFLite).ko_KR.vtt	10.4 KB
4 -Why is Google the King of Distributed Computing.es_ES.vtt	10.7 KB
4 -Why is Google the King of Distributed Computing.ko_KR.vtt	9.9 KB
5 -Training with Distributed Strategies.es_ES.vtt	8.3 KB
5 -Training with Distributed Strategies.ko_KR.vtt	7.3 KB
6 -Using the TPU.es_ES.vtt	7.1 KB
6 -Using the TPU.ko_KR.vtt	6.3 KB
/15 - Low-Level Tensorflow/
1 -Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4	29.2 MB
1 -Differences Between Tensorflow 1.x and Tensorflow 2.x.vtt	11.0 KB
2 -Constants and Basic Computation.mp4	52.6 MB
2 -Constants and Basic Computation.vtt	8.5 KB
3 -Variables and Gradient Tape.mp4	60.1 MB
3 -Variables and Gradient Tape.vtt	12.0 KB
4 -Build Your Own Custom Model.mp4	61.0 MB
4 -Build Your Own Custom Model.vtt	11.9 KB
/subtitles/
1 -Differences Between Tensorflow 1.x and Tensorflow 2.x.es_ES.vtt	11.9 KB
1 -Differences Between Tensorflow 1.x and Tensorflow 2.x.ko_KR.vtt	11.0 KB
2 -Constants and Basic Computation.es_ES.vtt	9.0 KB
2 -Constants and Basic Computation.ko_KR.vtt	8.1 KB
3 -Variables and Gradient Tape.es_ES.vtt	13.0 KB
3 -Variables and Gradient Tape.ko_KR.vtt	11.4 KB
4 -Build Your Own Custom Model.es_ES.vtt	13.0 KB
4 -Build Your Own Custom Model.ko_KR.vtt	11.4 KB
/16 - In-Depth Loss Functions/
1 -Mean Squared Error.mp4	25.4 MB
1 -Mean Squared Error.vtt	10.1 KB
2 -Binary Cross Entropy.mp4	15.7 MB
2 -Binary Cross Entropy.vtt	6.5 KB
3 -Categorical Cross Entropy.mp4	23.7 MB
3 -Categorical Cross Entropy.vtt	8.6 KB
/subtitles/
1 -Mean Squared Error.es_ES.vtt	10.7 KB
1 -Mean Squared Error.ko_KR.vtt	9.6 KB
2 -Binary Cross Entropy.es_ES.vtt	7.0 KB
2 -Binary Cross Entropy.ko_KR.vtt	6.3 KB
3 -Categorical Cross Entropy.es_ES.vtt	9.2 KB
3 -Categorical Cross Entropy.ko_KR.vtt	8.3 KB
/17 - In-Depth Gradient Descent/
1 -Gradient Descent.mp4	25.0 MB
1 -Gradient Descent.vtt	8.8 KB
2 -Stochastic Gradient Descent.mp4	21.5 MB
2 -Stochastic Gradient Descent.vtt	4.9 KB
3 -Momentum.mp4	30.1 MB
3 -Momentum.vtt	7.1 KB
4 -Variable and Adaptive Learning Rates.mp4	28.8 MB
4 -Variable and Adaptive Learning Rates.vtt	13.6 KB
5 -Adam (pt 1).mp4	50.9 MB
5 -Adam (pt 1).vtt	15.0 KB
6 -Adam (pt 2).mp4	44.3 MB
6 -Adam (pt 2).vtt	13.0 KB
/subtitles/
1 -Gradient Descent.es_ES.vtt	9.3 KB
1 -Gradient Descent.ko_KR.vtt	8.8 KB
2 -Stochastic Gradient Descent.es_ES.vtt	5.3 KB
2 -Stochastic Gradient Descent.ko_KR.vtt	4.8 KB
3 -Momentum.es_ES.vtt	7.5 KB
3 -Momentum.ko_KR.vtt	6.9 KB
4 -Variable and Adaptive Learning Rates.es_ES.vtt	14.7 KB
4 -Variable and Adaptive Learning Rates.ko_KR.vtt	13.1 KB
5 -Adam (pt 1).es_ES.vtt	16.2 KB
5 -Adam (pt 1).ko_KR.vtt	14.7 KB
6 -Adam (pt 2).es_ES.vtt	14.1 KB
6 -Adam (pt 2).ko_KR.vtt	12.4 KB
/18 - Course Conclusion/
1 -How to get the Tensorflow Developer Certificate.mp4	55.2 MB
1 -How to get the Tensorflow Developer Certificate.vtt	19.3 KB
2 -What to Learn Next.mp4	148.2 MB
2 -What to Learn Next.vtt	18.2 KB
/subtitles/
1 -How to get the Tensorflow Developer Certificate.es_ES.vtt	21.5 KB
1 -How to get the Tensorflow Developer Certificate.ko_KR.vtt	19.9 KB
2 -What to Learn Next.es_ES.vtt	19.7 KB
2 -What to Learn Next.ko_KR.vtt	18.0 KB
/19 - Extras/
1 -How to Choose Hyperparameters.mp4	25.0 MB
1 -How to Choose Hyperparameters.vtt	7.7 KB
2 -Get the Exercise Pack for This Course.mp4	20.6 MB
2 -Get the Exercise Pack for This Course.vtt	4.9 KB
/19 - Extras/subtitles/
1 -How to Choose Hyperparameters.es_ES.vtt	8.3 KB
1 -How to Choose Hyperparameters.ko_KR.vtt	7.5 KB
2 -Get the Exercise Pack for This Course.es_ES.vtt	5.1 KB
2 -Get the Exercise Pack for This Course.ko_KR.vtt	4.6 KB
/20 - Setting up your Environment (FAQ by Student Request)/
1 -Pre-Installation Check.mp4	15.8 MB
1 -Pre-Installation Check.vtt	5.9 KB
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	220.3 MB
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.9 KB
3 -Anaconda Environment Setup.mp4	365.5 MB
3 -Anaconda Environment Setup.vtt	17.8 KB
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4	227.1 MB
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt	28.6 KB
/subtitles/
1 -Pre-Installation Check.es_ES.vtt	6.0 KB
1 -Pre-Installation Check.ko_KR.vtt	5.8 KB
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.es_ES.vtt	13.6 KB
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.ko_KR.vtt	13.0 KB
3 -Anaconda Environment Setup.es_ES.vtt	19.4 KB
3 -Anaconda Environment Setup.ko_KR.vtt	18.3 KB
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.es_ES.vtt	30.5 KB
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.ko_KR.vtt	29.1 KB
/21 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/
1 -Data Links.url	0.1 KB
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4	30.3 MB
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.vtt	10.8 KB
1 -Github Links.url	0.1 KB
2 -How to use Github & Extra Coding Tips (Optional).mp4	59.2 MB
2 -How to use Github & Extra Coding Tips (Optional).vtt	14.1 KB
3 -Beginner's Coding Tips.mp4	51.1 MB
3 -Beginner's Coding Tips.vtt	17.0 KB
4 -How to Code Yourself (part 1).mp4	108.7 MB
4 -How to Code Yourself (part 1).vtt	19.8 KB
5 -How to Code Yourself (part 2).mp4	35.0 MB
5 -How to Code Yourself (part 2).vtt	11.7 KB
6 -Proof that using Jupyter Notebook is the same as not using it.mp4	124.8 MB
6 -Proof that using Jupyter Notebook is the same as not using it.vtt	12.6 KB
7 -Is Theano Dead.mp4	28.1 MB
7 -Is Theano Dead.vtt	11.4 KB
/subtitles/
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.es_ES.vtt	11.3 KB
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.ko_KR.vtt	10.5 KB
2 -How to use Github & Extra Coding Tips (Optional).es_ES.vtt	14.8 KB
2 -How to use Github & Extra Coding Tips (Optional).ko_KR.vtt	14.3 KB
3 -Beginner's Coding Tips.es_ES.vtt	18.0 KB
3 -Beginner's Coding Tips.ko_KR.vtt	16.8 KB
4 -How to Code Yourself (part 1).es_ES.vtt	21.1 KB
4 -How to Code Yourself (part 1).ko_KR.vtt	19.4 KB
5 -How to Code Yourself (part 2).es_ES.vtt	12.1 KB
5 -How to Code Yourself (part 2).ko_KR.vtt	11.2 KB
6 -Proof that using Jupyter Notebook is the same as not using it.es_ES.vtt	13.3 KB
6 -Proof that using Jupyter Notebook is the same as not using it.ko_KR.vtt	12.7 KB
7 -Is Theano Dead.es_ES.vtt	12.1 KB
7 -Is Theano Dead.ko_KR.vtt	11.4 KB
/22 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/
1 -How to Succeed in this Course (Long Version).mp4	28.7 MB
1 -How to Succeed in this Course (Long Version).vtt	13.1 KB
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	72.5 MB
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.3 KB
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	154.6 MB
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).vtt	14.5 KB
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	157.1 MB
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).vtt	20.7 KB
5 -Common Beginner Questions What if I'm advanced.mp4	81.0 MB
5 -Common Beginner Questions What if I'm advanced.vtt	28.6 KB
/subtitles/
1 -How to Succeed in this Course (Long Version).es_ES.vtt	13.5 KB
1 -How to Succeed in this Course (Long Version).ko_KR.vtt	12.8 KB
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.es_ES.vtt	29.6 KB
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.ko_KR.vtt	27.8 KB
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).es_ES.vtt	15.6 KB
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).ko_KR.vtt	14.3 KB
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).es_ES.vtt	22.7 KB
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).ko_KR.vtt	20.5 KB
5 -Common Beginner Questions What if I'm advanced.es_ES.vtt	29.3 KB
5 -Common Beginner Questions What if I'm advanced.ko_KR.vtt	27.0 KB
/23 - Appendix FAQ Finale/
1 -What is the Appendix.mp4	10.6 MB
1 -What is the Appendix.vtt	3.4 KB
2 -BONUS.mp4	48.7 MB
/subtitles/
1 -What is the Appendix.es_ES.vtt	3.4 KB
1 -What is the Appendix.ko_KR.vtt	3.4 KB
2 -BONUS.es_ES.vtt	7.9 KB
Total files 585