3.96 GB | 20min 20s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction and Outline.mp4 (7.48 MB)
2 Where to get the code.mp4 (6.79 MB)
3 How to Succeed in this Course.mp4 (8.96 MB)
1 Intro to Google Colab, how to use a GPU or TPU for free.mp4 (71.61 MB)
2 Uploading your own data to Google Colab.mp4 (103.32 MB)
3 Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 (36.56 MB)
4 Temporary 403 Errors.mp4 (31.71 MB)
1 Review Section Introduction.mp4 (7.51 MB)
2 What is Machine Learning.mp4 (47.96 MB)
3 Code Preparation (Classification Theory).mp4 (37.75 MB)
4 Classification Notebook.mp4 (172.09 MB)
5 Code Preparation (Regression Theory).mp4 (16.85 MB)
6 Regression Notebook.mp4 (87.59 MB)
7 The Neuron.mp4 (26.36 MB)
8 How does a model learn.mp4 (60.59 MB)
9 Making Predictions.mp4 (23.55 MB)
10 Saving and Loading a Model.mp4 (41.69 MB)
11 Suggestion Box.mp4 (39.8 MB)
1 Artificial Neural Networks Section Introduction.mp4 (18.39 MB)
2 Forward Propagation.mp4 (25.58 MB)
3 The Geometrical Picture.mp4 (28.66 MB)
4 Activation Functions.mp4 (59.51 MB)
5 Multiclass Classification.mp4 (30.77 MB)
6 How to Represent Images.mp4 (43.08 MB)
7 Color Mixing Clarification.mp4 (2.62 MB)
8 Code Preparation (ANN).mp4 (32.31 MB)
9 ANN for Image Classification.mp4 (44.34 MB)
10 ANN for Regression.mp4 (99.18 MB)
1 What is Convolution (part 1).mp4 (43.42 MB)
2 What is Convolution (part 2).mp4 (14.48 MB)
3 What is Convolution (part 3).mp4 (16.23 MB)
4 Why use 0-indexing.mp4 (200.95 MB)
5 Convolution on Color Images.mp4 (45.87 MB)
6 CNN Architecture.mp4 (59.72 MB)
7 CNN Code Preparation.mp4 (57.6 MB)
8 CNN for Fashion MNIST.mp4 (38.54 MB)
9 CNN for CIFAR-10.mp4 (25.79 MB)
10 Data Augmentation.mp4 (25.77 MB)
11 Batch Normalization.mp4 (13.1 MB)
12 Improving CIFAR-10 Results (Legacy).mp4 (101.21 MB)
1 Embeddings.mp4 (35.98 MB)
2 Code Preparation (NLP).mp4 (44.31 MB)
3 Text Preprocessing.mp4 (59.42 MB)
4 CNNs for Text.mp4 (21.56 MB)
5 Text Classification with CNNs.mp4 (298.9 MB)
1 Real-Life Examples of Convolution.mp4 (36.18 MB)
2 Beginner's Guide to Convolution.mp4 (17.54 MB)
3 Alternative Views on Convolution.mp4 (21.45 MB)
1 Convolution on 3-D Images.mp4 (21.72 MB)
2 Tracking Shapes in a CNN.mp4 (37.05 MB)
1 Advanced CNNs and how to Design your Own.mp4 (37.25 MB)
1 Mean Squared Error.mp4 (24.02 MB)
2 Binary Cross Entropy.mp4 (12.82 MB)
3 Categorical Cross Entropy.mp4 (19.59 MB)
1 Gradient Descent.mp4 (20.75 MB)
2 Stochastic Gradient Descent.mp4 (18.21 MB)
3 Momentum.mp4 (25.59 MB)
4 Variable and Adaptive Learning Rates.mp4 (23.49 MB)
5 Adam (pt 1).mp4 (38.11 MB)
6 Adam (pt 2).mp4 (31.32 MB)
1 What is the Appendix.mp4 (18.31 MB)
1 Pre-Installation Check.mp4 (13.04 MB)
2 Anaconda Environment Setup.mp4 (309.11 MB)
3 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (192 MB)
1 Beginner's Coding Tips.mp4 (42.86 MB)
2 Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (25.33 MB)
3 Where To Get the Code Troubleshooting.mp4 (29.62 MB)
4 How to use Github & Extra Coding Tips (Optional).mp4 (44.42 MB)
5 How to Code by Yourself (part 1).mp4 (93.55 MB)
6 How to Code by Yourself (part 2).mp4 (29.29 MB)
7 How to Uncompress a tar gz file.mp4 (6.43 MB)
8 Proof that using Jupyter Notebook is the same as not using it.mp4 (108.44 MB)
9 Python 2 vs Python 3.mp4 (10.4 MB)
10 Is Theano Dead.mp4 (27.91 MB)
1 How to Succeed in this Course (Long Version).mp4 (24.93 MB)
2 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (60.19 MB)
3 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (134.82 MB)
4 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (136.36 MB)
1 BONUS.mp4 (43.17 MB)]
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