日韩三级在线_国产精品3区_亚洲精品a_成人网页_国产成人精品久久_国产精品国产精品国产专区不片

課程目錄:Deep Learning AI Techniques for Executives, Developers and Managers培訓
4401 人關注
(78637/99817)
課程大綱:

          Deep Learning AI Techniques for Executives, Developers and Managers培訓

 

 

 

Day-1:
Basic Machine Learning
Module-1
Introduction:

Exercise – Installing Python and NN Libraries
Why machine learning?
Brief history of machine learning
The rise of deep learning
Basic concepts in machine learning
Visualizing a classification problem
Decision boundaries and decision regions
iPython notebooks
Module-2
Exercise – Decision Regions
The artificial neuron
The neural network, forward propagation and network layers
Activation functions
Exercise – Activation Functions
Backpropagation of error
Underfitting and overfitting
Interpolation and smoothing
Extrapolation and data abstraction
Generalization in machine learning
Module-3
Exercise – Underfitting and Overfitting
Training, testing, and validation sets
Data bias and the negative example problem
Bias/variance tradeoff
Exercise – Datasets and Bias
Module-4
Overview of NN parameters and hyperparameters
Logistic regression problems
Cost functions
Example – Regression
Classical machine learning vs. deep learning
Conclusion
Day-2 : Convolutional Neural Networks (CNN)
Module-5
Introduction to CNN
What are CNNs?
Computer vision
CNNs in everyday life
Images – pixels, quantization of color & space, RGB
Convolution equations and physical meaning, continuous vs. discrete
Exercise – 1D Convolution
Module-6
Theoretical basis for filtering
Signal as sum of sinusoids
Frequency spectrum
Bandpass filters
Exercise – Frequency Filtering
2D convolutional filters
Padding and stride length
Filter as bandpass
Filter as template matching
Exercise – Edge Detection
Gabor filters for localized frequency analysis
Exercise – Gabor Filters as Layer 1 Maps
Module-7
CNN architecture
Convolutional layers
Max pooling layers
Downsampling layers
Recursive data abstraction
Example of recursive abstraction
Module-8
Exercise – Basic CNN Usage
ImageNet dataset and the VGG-16 model
Visualization of feature maps
Visualization of feature meanings
Exercise – Feature Maps and Feature Meanings
Day-3 : Sequence Model
Module-9
What are sequence models?
Why sequence models?
Language modeling use case
Sequences in time vs. sequences in space
Module-10
RNNs
Recurrent architecture
Backpropagation through time
Vanishing gradients
GRU
LSTM
Deep RNN
Bidirectional RNN
Exercise – Unidirectional vs. Bidirectional RNN
Sampling sequences
Sequence output prediction
Exercise – Sequence Output Prediction
RNNs on simple time varying signals
Exercise – Basic Waveform Detection
Module-11
Natural Language Processing (NLP)
Word embeddings
Word vectors: word2vec
Word vectors: GloVe
Knowledge transfer and word embeddings
Sentiment analysis
Exercise – Sentiment Analysis
Module-12
Quantifying and removing bias
Exercise – Removing Bias
Audio data
Beam search
Attention model
Speech recognition
Trigger word Detection
Exercise – Speech Recognition

主站蜘蛛池模板: 殴美激情 | 国产免费一区二区三区香蕉精 | 国产日韩欧美综合在线 | 国产精品视频久久久久 | 热综合一本伊人久久精品 | 欧美亚洲网 | 一区二区三区四区日韩 | 国产 日韩 欧美 在线 | 亚洲精品在线免费观看 | 成人区精品一区二区毛片不卡 | 日韩综合在线 | 国产精品久久毛片蜜月 | 国产aⅴ精品一区二区三区久久 | 久久国产一区二区 | 日韩精品第三页 | 久久99精品久久久久久噜噜 | 国产在线精品成人一区二区三区 | 日韩欧美国产一区二区三区 | 国产精品免费观看 | 久久精品一区二区三区四区 | 久久精品国产一区二区三区日韩 | 国产精品久久久久久久久 | 日韩成人免费视频 | 亚洲综合欧美日韩 | 亚洲国产成人久久综合碰碰动漫3d | 国产日韩一区二区 | 国产一级二级三级 | 精品成人一区二区三区免费视频 | 欧美成人国产 | 亚洲欧美日韩三级 | 欧美日韩国产成人精品 | 欧美 日韩 国产 色 欧美 日韩 亚洲另类专区 | 日韩有码在线播放 | 精品一区视频 | 亚洲欧美日韩精品 | 日韩最新视频一区二区三 | 日本不卡一区二区三区四区 | 国产在线一区视频 | 一区二区网站 | 国产欧美在线观看 | 欧美综合国产精品日韩一 |