9.06 GB | 26min 33s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction.mp4 (28.09 MB)
2 -Outline.mp4 (45.09 MB)
3 -Where to get the code, notebooks, and data.mp4 (20.43 MB)
1 -Intro to Google Colab, how to use a GPU or TPU for free.mp4 (83.23 MB)
2 -Tensorflow 2 in Google Colab.mp4 (67.04 MB)
3 -Uploading your own data to Google Colab.mp4 (113.71 MB)
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 (41.9 MB)
5 -How to Succeed in This Course.mp4 (10.38 MB)
6 -Temporary 403 Errors.mp4 (29.87 MB)
7 -Course Updates.mp4 (11.59 MB)
1 -What is Machine Learning.mp4 (54.63 MB)
3 -Classification Notebook.mp4 (184.84 MB)
4 -Code Preparation (Regression Theory).mp4 (19.84 MB)
5 -Regression Notebook.mp4 (247.66 MB)
6 -The Neuron.mp4 (31.21 MB)
7 -How does a model learn.mp4 (34.91 MB)
8 -Making Predictions.mp4 (32.79 MB)
9 -Saving and Loading a Model.mp4 (47.16 MB)
10 -Why Keras.mp4 (22.7 MB)
11 -Suggestion Box.mp4 (43.53 MB)
1 -Artificial Neural Networks Section Introduction.mp4 (20.94 MB)
2 -Beginners Rejoice The Math in This Course is Optional.mp4 (58.48 MB)
3 -Forward Propagation.mp4 (29.43 MB)
4 -The Geometrical Picture.mp4 (32.8 MB)
5 -Activation Functions.mp4 (57.01 MB)
6 -Multiclass Classification.mp4 (34.8 MB)
7 -How to Represent Images.mp4 (48.78 MB)
8 -Color Mixing Clarification.mp4 (3.06 MB)
9 -Code Preparation (ANN).mp4 (37.17 MB)
10 -ANN for Image Classification.mp4 (65.06 MB)
11 -ANN for Regression.mp4 (108.91 MB)
1 -Why use tf data.mp4 (13.73 MB)
2 -Sample Code for tf data.mp4 (147.08 MB)
1 -What is Convolution (part 1).mp4 (49.96 MB)
2 -What is Convolution (part 2).mp4 (16.7 MB)
3 -What is Convolution (part 3).mp4 (19.29 MB)
4 -Convolution on Color Images.mp4 (52.36 MB)
5 -CNN Architecture.mp4 (68.32 MB)
6 -CNN Code Preparation.mp4 (64.96 MB)
7 -CNN for Fashion MNIST.mp4 (57.03 MB)
8 -CNN for CIFAR-10.mp4 (19.98 MB)
9 -Data Augmentation.mp4 (25.65 MB)
10 -Batch Normalization.mp4 (15.09 MB)
11 -Improving CIFAR-10 Results.mp4 (242.48 MB)
1 -Sequence Data.mp4 (75.18 MB)
2 -Forecasting.mp4 (30.35 MB)
3 -Autoregressive Linear Model for Time Series Prediction.mp4 (94.42 MB)
4 -Proof that the Linear Model Works.mp4 (11.46 MB)
5 -Recurrent Neural Networks.mp4 (60.04 MB)
6 -RNN Code Preparation.mp4 (13.66 MB)
7 -RNN for Time Series Prediction.mp4 (95.02 MB)
8 -Paying Attention to Shapes.mp4 (83.73 MB)
9 -GRU and LSTM (pt 1).mp4 (70.36 MB)
10 -GRU and LSTM (pt 2).mp4 (33.78 MB)
11 -A More Challenging Sequence.mp4 (82.46 MB)
12 -Demo of the Long Distance Problem.mp4 (157.9 MB)
13 -RNN for Image Classification (Theory).mp4 (20.47 MB)
14 -RNN for Image Classification (Code).mp4 (22.09 MB)
15 -Stock Return Predictions using LSTMs (pt 1).mp4 (85.77 MB)
16 -Stock Return Predictions using LSTMs (pt 2).mp4 (30.7 MB)
17 -Stock Return Predictions using LSTMs (pt 3).mp4 (109.21 MB)
18 -Other Ways to Forecast.mp4 (18.12 MB)
1 -Embeddings.mp4 (37.86 MB)
2 -Code Preparation (NLP).mp4 (52.63 MB)
3 -Text Preprocessing.mp4 (175.47 MB)
4 -Text Classification with LSTMs.mp4 (354.94 MB)
5 -CNNs for Text.mp4 (24.79 MB)
6 -Text Classification with CNNs.mp4 (315.4 MB)
1 -Recommender Systems with Deep Learning Theory.mp4 (63.26 MB)
2 -Recommender Systems with Deep Learning Code.mp4 (78.04 MB)
1 -Transfer Learning Theory.mp4 (71.69 MB)
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 (26.85 MB)
3 -Large Datasets and Data Generators.mp4 (25.71 MB)
4 -2 Approaches to Transfer Learning.mp4 (17.38 MB)
5 -Transfer Learning Code (pt 1) (Legacy).mp4 (86.91 MB)
6 -Transfer Learning Code (pt 2) (Legacy).mp4 (60.39 MB)
7 -Transfer Learning Code (pt 1).mp4 (306.33 MB)
8 -Transfer Learning Code (pt 2).mp4 (298.71 MB)
1 -GAN Theory.mp4 (70.69 MB)
2 -GAN Code.mp4 (77.84 MB)
1 -Deep Reinforcement Learning Section Introduction.mp4 (34.35 MB)
2 -Elements of a Reinforcement Learning Problem.mp4 (68.51 MB)
3 -States, Actions, Rewards, Policies.mp4 (29.39 MB)
4 -Markov Decision Processes (MDPs).mp4 (33.21 MB)
5 -The Return.mp4 (14.88 MB)
6 -Value Functions and the Bellman Equation.mp4 (30 MB)
7 -What does it mean to "learn".mp4 (21.77 MB)
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (29.86 MB)
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (44.15 MB)
10 -Epsilon-Greedy.mp4 (25.45 MB)
11 -Q-Learning.mp4 (43.85 MB)
12 -Deep Q-Learning DQN (pt 1).mp4 (40.52 MB)
13 -Deep Q-Learning DQN (pt 2).mp4 (35.1 MB)
14 -How to Learn Reinforcement Learning.mp4 (44.2 MB)
1 -Reinforcement Learning Stock Trader Introduction.mp4 (18.51 MB)
2 -Data and Environment.mp4 (37.75 MB)
3 -Replay Buffer.mp4 (16.63 MB)
4 -Program Design and Layout.mp4 (18.69 MB)
5 -Code pt 1.mp4 (55.04 MB)
6 -Code pt 2.mp4 (61.02 MB)
7 -Code pt 3.mp4 (71.86 MB)
8 -Code pt 4.mp4 (86.59 MB)
9 -Reinforcement Learning Stock Trader Discussion.mp4 (11.18 MB)
10 -Help! Why is the code slower on my machine.mp4 (33.03 MB)
1 -What is a Web Service (Tensorflow Serving pt 1).mp4 (19.5 MB)
2 -Tensorflow Serving pt 2.mp4 (172.82 MB)
3 -Tensorflow Lite (TFLite).mp4 (34.69 MB)
4 -Why is Google the King of Distributed Computing.mp4 (30.61 MB)
5 -Training with Distributed Strategies.mp4 (55.33 MB)
6 -Using the TPU.mp4 (78.8 MB)
1 -Differences Between Tensorflow 1 x and Tensorflow 2 x.mp4 (27.85 MB)
2 -Constants and Basic Computation.mp4 (50.2 MB)
3 -Variables and Gradient Tape.mp4 (57.36 MB)
4 -Build Your Own Custom Model.mp4 (58.15 MB)
1 -Mean Squared Error.mp4 (24.25 MB)
2 -Binary Cross Entropy.mp4 (14.97 MB)
3 -Categorical Cross Entropy.mp4 (22.6 MB)
1 -Gradient Descent.mp4 (23.83 MB)
2 -Stochastic Gradient Descent.mp4 (20.49 MB)
3 -Momentum.mp4 (28.72 MB)
4 -Variable and Adaptive Learning Rates.mp4 (27.42 MB)
5 -Adam (pt 1).mp4 (48.53 MB)
6 -Adam (pt 2).mp4 (42.26 MB)
1 -How to get the Tensorflow Developer Certificate.mp4 (52.65 MB)
2 -What to Learn Next.mp4 (141.33 MB)
1 -How to Choose Hyperparameters.mp4 (23.82 MB)
2 -Get the Exercise Pack for This Course.mp4 (19.69 MB)
1 -Pre-Installation Check.mp4 (15.08 MB)
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (210.1 MB)
3 -Anaconda Environment Setup.mp4 (348.59 MB)
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 (216.57 MB)
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (28.92 MB)
2 -How to use Github & Extra Coding Tips (Optional).mp4 (56.44 MB)
3 -Beginner's Coding Tips.mp4 (48.76 MB)
4 -How to Code Yourself (part 1).mp4 (103.66 MB)
5 -How to Code Yourself (part 2).mp4 (33.35 MB)
6 -Proof that using Jupyter Notebook is the same as not using it.mp4 (119.04 MB)
7 -Is Theano Dead.mp4 (26.78 MB)
1 -How to Succeed in this Course (Long Version).mp4 (27.38 MB)
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (69.12 MB)
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (147.45 MB)
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (149.84 MB)
5 -Common Beginner Questions What if I'm advanced.mp4 (77.29 MB)
1 -What is the Appendix.mp4 (10.14 MB)
2 -BONUS.mp4 (46.48 MB)
2 -Outline.mp4 (45.09 MB)
3 -Where to get the code, notebooks, and data.mp4 (20.43 MB)
1 -Intro to Google Colab, how to use a GPU or TPU for free.mp4 (83.23 MB)
2 -Tensorflow 2 in Google Colab.mp4 (67.04 MB)
3 -Uploading your own data to Google Colab.mp4 (113.71 MB)
4 -Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 (41.9 MB)
5 -How to Succeed in This Course.mp4 (10.38 MB)
6 -Temporary 403 Errors.mp4 (29.87 MB)
7 -Course Updates.mp4 (11.59 MB)
1 -What is Machine Learning.mp4 (54.63 MB)
3 -Classification Notebook.mp4 (184.84 MB)
4 -Code Preparation (Regression Theory).mp4 (19.84 MB)
5 -Regression Notebook.mp4 (247.66 MB)
6 -The Neuron.mp4 (31.21 MB)
7 -How does a model learn.mp4 (34.91 MB)
8 -Making Predictions.mp4 (32.79 MB)
9 -Saving and Loading a Model.mp4 (47.16 MB)
10 -Why Keras.mp4 (22.7 MB)
11 -Suggestion Box.mp4 (43.53 MB)
1 -Artificial Neural Networks Section Introduction.mp4 (20.94 MB)
2 -Beginners Rejoice The Math in This Course is Optional.mp4 (58.48 MB)
3 -Forward Propagation.mp4 (29.43 MB)
4 -The Geometrical Picture.mp4 (32.8 MB)
5 -Activation Functions.mp4 (57.01 MB)
6 -Multiclass Classification.mp4 (34.8 MB)
7 -How to Represent Images.mp4 (48.78 MB)
8 -Color Mixing Clarification.mp4 (3.06 MB)
9 -Code Preparation (ANN).mp4 (37.17 MB)
10 -ANN for Image Classification.mp4 (65.06 MB)
11 -ANN for Regression.mp4 (108.91 MB)
1 -Why use tf data.mp4 (13.73 MB)
2 -Sample Code for tf data.mp4 (147.08 MB)
1 -What is Convolution (part 1).mp4 (49.96 MB)
2 -What is Convolution (part 2).mp4 (16.7 MB)
3 -What is Convolution (part 3).mp4 (19.29 MB)
4 -Convolution on Color Images.mp4 (52.36 MB)
5 -CNN Architecture.mp4 (68.32 MB)
6 -CNN Code Preparation.mp4 (64.96 MB)
7 -CNN for Fashion MNIST.mp4 (57.03 MB)
8 -CNN for CIFAR-10.mp4 (19.98 MB)
9 -Data Augmentation.mp4 (25.65 MB)
10 -Batch Normalization.mp4 (15.09 MB)
11 -Improving CIFAR-10 Results.mp4 (242.48 MB)
1 -Sequence Data.mp4 (75.18 MB)
2 -Forecasting.mp4 (30.35 MB)
3 -Autoregressive Linear Model for Time Series Prediction.mp4 (94.42 MB)
4 -Proof that the Linear Model Works.mp4 (11.46 MB)
5 -Recurrent Neural Networks.mp4 (60.04 MB)
6 -RNN Code Preparation.mp4 (13.66 MB)
7 -RNN for Time Series Prediction.mp4 (95.02 MB)
8 -Paying Attention to Shapes.mp4 (83.73 MB)
9 -GRU and LSTM (pt 1).mp4 (70.36 MB)
10 -GRU and LSTM (pt 2).mp4 (33.78 MB)
11 -A More Challenging Sequence.mp4 (82.46 MB)
12 -Demo of the Long Distance Problem.mp4 (157.9 MB)
13 -RNN for Image Classification (Theory).mp4 (20.47 MB)
14 -RNN for Image Classification (Code).mp4 (22.09 MB)
15 -Stock Return Predictions using LSTMs (pt 1).mp4 (85.77 MB)
16 -Stock Return Predictions using LSTMs (pt 2).mp4 (30.7 MB)
17 -Stock Return Predictions using LSTMs (pt 3).mp4 (109.21 MB)
18 -Other Ways to Forecast.mp4 (18.12 MB)
1 -Embeddings.mp4 (37.86 MB)
2 -Code Preparation (NLP).mp4 (52.63 MB)
3 -Text Preprocessing.mp4 (175.47 MB)
4 -Text Classification with LSTMs.mp4 (354.94 MB)
5 -CNNs for Text.mp4 (24.79 MB)
6 -Text Classification with CNNs.mp4 (315.4 MB)
1 -Recommender Systems with Deep Learning Theory.mp4 (63.26 MB)
2 -Recommender Systems with Deep Learning Code.mp4 (78.04 MB)
1 -Transfer Learning Theory.mp4 (71.69 MB)
2 -Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 (26.85 MB)
3 -Large Datasets and Data Generators.mp4 (25.71 MB)
4 -2 Approaches to Transfer Learning.mp4 (17.38 MB)
5 -Transfer Learning Code (pt 1) (Legacy).mp4 (86.91 MB)
6 -Transfer Learning Code (pt 2) (Legacy).mp4 (60.39 MB)
7 -Transfer Learning Code (pt 1).mp4 (306.33 MB)
8 -Transfer Learning Code (pt 2).mp4 (298.71 MB)
1 -GAN Theory.mp4 (70.69 MB)
2 -GAN Code.mp4 (77.84 MB)
1 -Deep Reinforcement Learning Section Introduction.mp4 (34.35 MB)
2 -Elements of a Reinforcement Learning Problem.mp4 (68.51 MB)
3 -States, Actions, Rewards, Policies.mp4 (29.39 MB)
4 -Markov Decision Processes (MDPs).mp4 (33.21 MB)
5 -The Return.mp4 (14.88 MB)
6 -Value Functions and the Bellman Equation.mp4 (30 MB)
7 -What does it mean to "learn".mp4 (21.77 MB)
8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (29.86 MB)
9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (44.15 MB)
10 -Epsilon-Greedy.mp4 (25.45 MB)
11 -Q-Learning.mp4 (43.85 MB)
12 -Deep Q-Learning DQN (pt 1).mp4 (40.52 MB)
13 -Deep Q-Learning DQN (pt 2).mp4 (35.1 MB)
14 -How to Learn Reinforcement Learning.mp4 (44.2 MB)
1 -Reinforcement Learning Stock Trader Introduction.mp4 (18.51 MB)
2 -Data and Environment.mp4 (37.75 MB)
3 -Replay Buffer.mp4 (16.63 MB)
4 -Program Design and Layout.mp4 (18.69 MB)
5 -Code pt 1.mp4 (55.04 MB)
6 -Code pt 2.mp4 (61.02 MB)
7 -Code pt 3.mp4 (71.86 MB)
8 -Code pt 4.mp4 (86.59 MB)
9 -Reinforcement Learning Stock Trader Discussion.mp4 (11.18 MB)
10 -Help! Why is the code slower on my machine.mp4 (33.03 MB)
1 -What is a Web Service (Tensorflow Serving pt 1).mp4 (19.5 MB)
2 -Tensorflow Serving pt 2.mp4 (172.82 MB)
3 -Tensorflow Lite (TFLite).mp4 (34.69 MB)
4 -Why is Google the King of Distributed Computing.mp4 (30.61 MB)
5 -Training with Distributed Strategies.mp4 (55.33 MB)
6 -Using the TPU.mp4 (78.8 MB)
1 -Differences Between Tensorflow 1 x and Tensorflow 2 x.mp4 (27.85 MB)
2 -Constants and Basic Computation.mp4 (50.2 MB)
3 -Variables and Gradient Tape.mp4 (57.36 MB)
4 -Build Your Own Custom Model.mp4 (58.15 MB)
1 -Mean Squared Error.mp4 (24.25 MB)
2 -Binary Cross Entropy.mp4 (14.97 MB)
3 -Categorical Cross Entropy.mp4 (22.6 MB)
1 -Gradient Descent.mp4 (23.83 MB)
2 -Stochastic Gradient Descent.mp4 (20.49 MB)
3 -Momentum.mp4 (28.72 MB)
4 -Variable and Adaptive Learning Rates.mp4 (27.42 MB)
5 -Adam (pt 1).mp4 (48.53 MB)
6 -Adam (pt 2).mp4 (42.26 MB)
1 -How to get the Tensorflow Developer Certificate.mp4 (52.65 MB)
2 -What to Learn Next.mp4 (141.33 MB)
1 -How to Choose Hyperparameters.mp4 (23.82 MB)
2 -Get the Exercise Pack for This Course.mp4 (19.69 MB)
1 -Pre-Installation Check.mp4 (15.08 MB)
2 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (210.1 MB)
3 -Anaconda Environment Setup.mp4 (348.59 MB)
4 -Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 (216.57 MB)
1 -Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (28.92 MB)
2 -How to use Github & Extra Coding Tips (Optional).mp4 (56.44 MB)
3 -Beginner's Coding Tips.mp4 (48.76 MB)
4 -How to Code Yourself (part 1).mp4 (103.66 MB)
5 -How to Code Yourself (part 2).mp4 (33.35 MB)
6 -Proof that using Jupyter Notebook is the same as not using it.mp4 (119.04 MB)
7 -Is Theano Dead.mp4 (26.78 MB)
1 -How to Succeed in this Course (Long Version).mp4 (27.38 MB)
2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (69.12 MB)
3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (147.45 MB)
4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (149.84 MB)
5 -Common Beginner Questions What if I'm advanced.mp4 (77.29 MB)
1 -What is the Appendix.mp4 (10.14 MB)
2 -BONUS.mp4 (46.48 MB)
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