The video presents a clear explanation of different type of neurons, their pros and cons and when to use them in Neural networks. Discussed types include Sigmoid, Tanh, Relu, Leaky Relu, Parametric relu and exponential relu.
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Neural Nets and Deep Learning Lec 8: Gradient Decent for Logistic Regression
Neural Nets and Deep Learning Lec 9: Computational Graphs for Studying Neural network
Neural Nets and Deep Learning Lec 10-11 : Forward and Back-propagation in Logistic Regression
Lec 12 : Vectorization of Logistic Regression and Standard Neural Net
Neural nets and Deep Learning Lec 13: Types of Neurons and Their properties I
Neural nets and Deep Learning Lec 14A: Softmax
Lec 14 B : Keras Implementation of Standard neural network
Neural Nets and Deep learning Lec 15 : Evaluation of Binary Classifiers
Lec 16A : Precision Recall Curve
Lec 16B : Keras Implementation of Multi class Classification using Standard Neural Net
Lec 17 : Introduction to Convolution Neural Networks
Lec 18 A : CNN 2 : Strides and Convolution on Volumes