Element-wise multiplication requires same dimension between two matrices. This is the ReLU activation function, the most used in neural networks.When an experienced deep learning engineer works on a new problem, they can usually use insight from previous problems to train a good model on the first try, without needing to iterate multiple times through different models.
)Recall this diagram of iterating over different ML ideas. Neural Networks are a brand new field. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, … Deep Learning Specialization by Andrew Ng on Coursera.
AI is transforming many fields from the car industry to agriculture to supply-chain... A demographic dataset with statistics on different cities' population, GDP per capita, economic growth is an example of “structured” data by opposition to image, audio or text datasets.It is strictly more powerful than a Convolutional Neural Network (CNN).If you find this helpful by any mean like, comment and share the post.Coursera: Machine Learning (Week 2) [Assignment Solution] - Andrew NGCoursera: Machine Learning (Week 6) [Assignment Solution] - Andrew NG This repository has been archived by the owner. True/False?Assuming the trends described in the previous question's figure are accurate (and hoping you got the axis labels right), which of the following are true? It is now read-only.
)Feel free to ask doubts in the comment section. It's going to be an error.Consider the following computation graph. Recall that X=[x^(1), x^(2)...x^(m)]. (Check the three options that apply.) What is the dimension of X?Note: A stupid way to validate this is use the formula Z^(l) = W^(l)A^(l) when l = 1, then we have You signed out in another tab or window. y-axis (vertical axis) is the performance of the algorithm.A demographic dataset with statistics on different cities' population, GDP per capita, economic growth is an example of “unstructured” data because it contains data coming from different sources.
Images for cat recognition is an example of “unstructured” data.Images for cat recognition is an example of “structured” data because it is represented as a structured array in a computer. "*" operator indicates element-wise multiplication. Note: We are using a cross-entropy loss function.Suppose you have n_x input features per example. The development of hardware, perhaps especially GPU computing, has significantly improved deep learning algorithms' performance.Why is an RNN (Recurrent Neural Network) used for machine translation, say translating English to French? Check-out our free tutorials on IOT (Internet of Things):What does the analogy “AI is the new electricity” refer to?It is faster to train on a big dataset than a small dataset. True/False?Yes. I will try my best to answer it.Coursera: Machine Learning (Week 5) [Assignment Solution] - Andrew NGDecreasing the training set size generally does not hurt an algorithm’s performance, and it may help significantly.Yes. Create Week 2 Quiz - Neural Network Basics.mdConsider the two following random arrays "a" and "b":Suppose img is a (32,32,3) array, representing a 32x32 image with 3 color channels red, green and blue. Week 4 Quiz - Key concepts on Deep Neural Networks What is the Which of the statements below are true? How do you reshape this into a column vector?Note: The output of a neuron is a = g(Wx + b) where g is the activation function (sigmoid, tanh, ReLU, ...).This will invoke broadcasting, so b is copied three times to become (3,3), and ∗ is an element-wise product so GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.b (column vector) is copied 3 times so that it can be summed to each column of a. Although experience can help, it requires multiple iterations to build a good model.Which one of these plots represents a ReLU activation function? We have access to a lot more data. We can train it on many pairs of sentences x (English) and y (French). Finding the characteristics of a model is key to have good performance. Yes. Deep learning has resulted in significant improvements in important applications such as online advertising, speech recognition, and image recognition. ) Correct! An RNN can map from a sequence of english words to a sequence of french words.AI runs on computers and is thus powered by electricity, but it is letting computers do things not possible before.--------------------------------------------------------------------------------Coursera: Machine Learning (Week 3) [Assignment Solution] - Andrew NGThrough the “smart grid”, AI is delivering a new wave of electricity.Which of these are reasons for Deep Learning recently taking off? Improving Deep Neural Networks-Hyperparameter tuning, Regularization and Optimization Week 1 Quiz 1 Week 2 ( Deep Learning Specialization Course by Coursera. Decreasing the size of a neural network generally does not hurt an algorithm’s performance, and it may help significantly. Yes. Coursera: Neural Networks and Deep Learning - All weeks solutions [Assignment + Quiz] - deeplearning.ai Akshay Daga (APDaga) January 15, 2020 Artificial Intelligence , Machine Learning , ZStar
Atom Coursera: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - All weeks solutions [Assignment + Quiz] - deeplearning.ai Akshay Daga (APDaga) May 02, 2020 Artificial Intelligence , Machine Learning , ZStar (Check all that apply. The digitalization of our society has played a huge role in this.AI is powering personal devices in our homes and offices, similar to electricity.RNNs represent the recurrent process of Idea->Code->Experiment->Idea->....x-axis is the performance of the algorithmThis is the simplest way to encourage me to keep doing such work.In this diagram which we hand-drew in lecture, what do the horizontal axis (x-axis) and vertical axis (y-axis) represent? Yes. Post Comments Therefore, You signed in with another tab or window. (Check all that apply. Yes. These were all examples discussed in lecture 3.Yes.
Bringing more data to a model is almost always beneficial. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.