2.85 GB | 26min 33s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction and Outline.mp4 (6.53 MB)
2 Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (13.19 MB)
3 Where to get the code.mp4 (26.87 MB)
4 How to Succeed in this Course.mp4 (16.24 MB)
1 Intro to Google Colab, how to use a GPU or TPU for free.mp4 (43.38 MB)
2 Uploading your own data to Google Colab.mp4 (62.76 MB)
3 Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 (55.57 MB)
4 Temporary 403 Errors.mp4 (20.81 MB)
1 Review Section Introduction.mp4 (5.02 MB)
10 Saving and Loading a Model.mp4 (25.15 MB)
11 Suggestion Box.mp4 (23.29 MB)
2 What is Machine Learning.mp4 (34.45 MB)
3 Code Preparation (Classification Theory).mp4 (28.31 MB)
4 Classification Notebook.mp4 (111.07 MB)
5 Code Preparation (Regression Theory).mp4 (12.69 MB)
6 Regression Notebook.mp4 (148.95 MB)
7 The Neuron.mp4 (45.43 MB)
8 How does a model learn.mp4 (37.69 MB)
9 Making Predictions.mp4 (16.69 MB)
1 Artificial Neural Networks Section Introduction.mp4 (11.85 MB)
10 ANN for Regression.mp4 (60.75 MB)
2 Forward Propagation.mp4 (19.16 MB)
3 The Geometrical Picture.mp4 (20.83 MB)
4 Activation Functions.mp4 (39.18 MB)
5 Multiclass Classification.mp4 (20.4 MB)
6 How to Represent Images.mp4 (26.94 MB)
7 Color Mixing Clarification.mp4 (1.86 MB)
8 Code Preparation (ANN).mp4 (22.25 MB)
9 ANN for Image Classification.mp4 (38.36 MB)
1 Sequence Data.mp4 (42.69 MB)
10 GRU and LSTM (pt 2).mp4 (21.84 MB)
11 A More Challenging Sequence.mp4 (56.71 MB)
12 Demo of the Long Distance Problem.mp4 (91.05 MB)
13 RNN for Image Classification (Theory).mp4 (11.58 MB)
14 RNN for Image Classification (Code).mp4 (20.34 MB)
15 Stock Return Predictions using LSTMs (pt 1).mp4 (39.02 MB)
16 Stock Return Predictions using LSTMs (pt 2).mp4 (18.04 MB)
17 Stock Return Predictions using LSTMs (pt 3).mp4 (62.38 MB)
18 Other Ways to Forecast.mp4 (11.49 MB)
2 Forecasting.mp4 (19.76 MB)
3 Autoregressive Linear Model for Time Series Prediction.mp4 (63.6 MB)
4 Proof that the Linear Model Works.mp4 (6.94 MB)
5 Recurrent Neural Networks.mp4 (35.54 MB)
6 RNN Code Preparation.mp4 (8.38 MB)
7 RNN for Time Series Prediction.mp4 (56.19 MB)
8 Paying Attention to Shapes.mp4 (48.61 MB)
9 GRU and LSTM (pt 1).mp4 (41.84 MB)
1 Embeddings.mp4 (22.39 MB)
2 Code Preparation (NLP).mp4 (33.05 MB)
3 Text Preprocessing.mp4 (87.68 MB)
4 Text Classification with LSTMs.mp4 (184.65 MB)
1 Mean Squared Error.mp4 (16.77 MB)
2 Binary Cross Entropy.mp4 (9.8 MB)
3 Categorical Cross Entropy.mp4 (13.55 MB)
1 Gradient Descent.mp4 (14.01 MB)
2 Stochastic Gradient Descent.mp4 (11.63 MB)
3 Momentum.mp4 (16.2 MB)
4 Variable and Adaptive Learning Rates.mp4 (17.04 MB)
5 Adam (pt 1).mp4 (55.14 MB)
6 Adam (pt 2).mp4 (52.78 MB)
1 Pre-Installation Check.mp4 (8.92 MB)
2 Anaconda Environment Setup.mp4 (167.89 MB)
3 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (109.22 MB)
1 Beginner's Coding Tips.mp4 (27.98 MB)
2 How to Code by Yourself (part 1).mp4 (56.13 MB)
3 How to Code by Yourself (part 2).mp4 (20.87 MB)
4 Proof that using Jupyter Notebook is the same as not using it.mp4 (64.31 MB)
5 Python 2 vs Python 3.mp4 (7.61 MB)
6 How to use Github & Extra Coding Tips (Optional).mp4 (29.65 MB)
1 How to Succeed in this Course (Long Version).mp4 (17.87 MB)
2 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (42.45 MB)
3 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (75.68 MB)
4 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (81.22 MB)
1 What is the Appendix.mp4 (6.14 MB)
2 BONUS.mp4 (19.55 MB)]
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