Price: 6.00 USD | Size: 3.29 GB | Duration : 12.00 +  Hours | 
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD
 
Deep Learning - Convulsive neural networks in Python Online Training
 
 
Modules
001-Introduction and Outline
002-Where to get the code
003-How to Succeed in this Course
004-Intro to Google Colab how to use a GPU or TPU for free
005-Uploading your own data to Google Colab
006-Where can I learn about Numpy Scipy Matplotlib Pandas and Scikit Learn
007-Review Section Introduction
008-What is Machine Learning
009-Code Preparation Classification Theory
010-Classification Notebook
011-Code Preparation Regression Theory
012-Regression Notebook
013-The Neuron
014-How does a model learn
015-Making Predictions
016-Saving and Loading a Model
017-Suggestion Box
018-Artificial Neural Networks Section Introduction
019-Forward Propagation
020-The Geometrical Picture
021-Activation Functions
022-Multiclass Classification
023-How to Represent Images
024-Code Preparation ANN
025-ANN for Image Classification
026-ANN for Regression
027-What is Convolution part 1
028-What is Convolution part 2
029-What is Convolution part 3
030-Convolution on Color Images
031-CNN Architecture
032-CNN Code Preparation
033-CNN for Fashion MNIST
034-CNN for CIFAR 10
035-Data Augmentation
036-Batch Normalization
037-Improving CIFAR 10 Results
038-Embeddings
039-Code Preparation NLP
040-Text Preprocessing
041-CNNs for Text
042-Text Classification with CNNs
043-Real Life Examples of Convolution
044-Beginner s Guide to Convolution
045-Alternative Views on Convolution
046-Convolution on 3 D Images
047-Tracking Shapes in a CNN
048-Advanced CNNs and how to Design your Own
049-Mean Squared Error
050-Binary Cross Entropy
051-Categorical Cross Entropy
052-Gradient Descent
053-Stochastic Gradient Descent
054-Momentum
055-Variable and Adaptive Learning Rates
056-Adam pt 1
057-Adam pt 2
059-Anaconda Environment Setup
060-How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow
061-Beginner s Coding Tips
062-How to Code by Yourself part 1
063-How to Code by Yourself part 2
064-How to Uncompress a tar gz file
065-Proof that using Jupyter Notebook is the same as not using it
066-Python 2 vs Python 3
067-Is Theano Dead
068-How to Succeed in this Course Long Version
069-Is this for Beginners or Experts Academic or Practical Fast or slow paced
070-Machine Learning and AI Prerequisite Roadmap pt 1
071-Machine Learning and AI Prerequisite Roadmap pt 2
072-What is the Appendix
073-BONUS