Csc413 jimmy ba. pdf from CS 6000 at University of Waterloo.

Csc413 jimmy ba Homework 2 Homework 2 Version: 1. k. 1) (Q1. CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 7. 2) Further clarification to question 3. In this question, we will Jimmy Ba CSC413/2516 Lecture 11: Q-Learning & the Game of Go 20 / 29. 5. , English to French CSC413/2516 Winter 2021 with Professor Jimmy Ba and Professor Bo Wang Homework 2 Homework 2 - Version 1. Once registered, students should send the Letter of Academic Accommodations to our ticketing system at csc413-2023-01@cs. 00. Overview. (Q2. CSC413/2516 Homework 1 Hard-Coding Networks solution $ 29. pdf from CSC 413 at University of Toronto. Waitlist and enrollment: CSC413 and CSC2516 always had long waiting lists for the last few years. CSC413/2516 Winter 2022 with Professor Jimmy Ba and Professor Bo Wang Homework 2 Homework 2 Version: 1. You will start by constructing a two-layer perceptron “Sort 2” to sort two numbers and […] You will be completing this assignment with the aid of large language models (LLMs) such as ChatGPT, text-davinci-003, or code-davinci-002. My long-term research goal is to address a computational question: How can we build general problem-solving machines with human-like efficiency and adaptability? In particular, my research interests focus on the development of efficient learning algorithms for deep neural networks. I took this course in 2021 Winter with prof Jimmy Ba and Bo Wang. 1 Version Release Date: 2021-03-29 Deadline: Thursday, April 8th, at 11:59pm. 0 Deadline: Thursday, Feb. Think of this as analogous to (i) understanding the […] Programming Assignment 3: Attention-Based Neural Machine Translation Introduction In this assignment, you will train a few attention-based neural machine translation models to translate words from English to Pig-Latin. Pig Latin Pig Latin is a simple transformation of English based on the following rules […] Feb 16, 2020 · View PA02. Attention is All You Need! a. , Xij ̸= Xji) if we wish to distinguish the counts for when i-th word appears before j CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 3 2. 5) – Added nn. You may Jimmy Ba and Bo VVana CSC413/2516 Lecture 2: Multilayer Perceptrons o Each layer connects N input units to M output un. a. 0. Jimmy Ba and Bo Wang Assignment 2 Assignment 2 • (v1. What do we actually do with them? Today’s lecture: various things that can go wrong in gradient descent, and what to do about them. Q-Learning Policy gradient and Q-learning use two very different choices of representation: policies and value functions Advantage of both methods: don’t need to model the environment Pros/cons of policy gradient Pro: unbiased estimate of gradient of Jimmy Ba and Bo Wang CSC413/2516 Lecture 11: Q-Learning & the Game of Go 16/38 Function Approximation with Neural Networks Approximating Q with a neural net is a decades-old idea, but For CSC413/2516 in Winter 2023 with Professor Jimmy Ba and Professor Bo Wang. CSC413/2516 Lecture 11: Q-Learning & the Game of Go Jimmy Ba Jimmy Ba CSC413/2516 Lecture 11: Q-Learning & the Game of Go 1 / 29 Overview Second lecture on reinforcement learning Optimize a policy directly, don't represent anything about the environment View a1. Quality. CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Homework 1 1. Please give the weight W (3) for this output layer when k = 3. CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 5 Homework 5 Deadline: Monday, April 6, at 11:59pm. Submission: You must submit two files through MarkUs: A PDF file containing your writeup, titled a1-writeup. 1. amberwu98. LaTeX, Microsoft Word, scanner), as long as it is readable. International Conference on Learning Representations (ICLR 2023 CSC413 Neural Networks and Deep Learning. pdf, which will be the PDF export of this notebook (i. CSC413/2516 Winter 2022 with Prof. Game Trees As Claude Shannon pointed out in 1949, for games with nite CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 3 Programming Assignment 3: Attention-Based Neural Machine Trans-lation Due Date: Monday, Mar. ts. Second lecture on reinforcement learning Optimize a policy directly, don’t represent anything about the environment Today: Q-learning Learn an action-value function that predicts future returns Case study: AlphaGo uses both a policy network and a value Introduction This assignment will focus on the applications of convolutional neural networks in various image processing tasks. Dropout as an Adaptive Weight Decay Consider a linear regression, y(i) = P j w jx CSC 413 Winter 2024: Neural Networks and Deep Learning. See the Course Syllabus for detailed policies Introduction In this assignment, you will train a few attention-based neural machine translation models to translate words from English to Pig-Latin. Vanishing / Exploding Gradients For any successful deep learning system, choosing the right network architecture is as important as choosing a good learning algorithm. Original Work ? Category: CSC 413/2516 You will Instantly receive a CSC413/2516 Winter 2022 with Prof. We’ve talked a lot about how to compute gradients. io Jimmy Ba CSC413/2516 Lectures 4: Optimization 1 / 43. Machine learning (ML) is a set of techniques that allow computers to learn from data and experience, rather than requiring humans to specify the desired behaviour manually. 2 CSC413/2516 Winter 2022 with Professor Jimmy Ba & Bo Wang Programming Assignment 3 Part 1: Neural machine translation (NMT) [2pt] Neural machine translation (NMT) is a subfield of NLP that aims to translate between languages using neural networks. Pig Latin Pig Latin is a simple Introduction In this assignment, you will explore common tasks and model architectures in Natural Language Processing (NLP). CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 in the same context – in our case the adjacent words. CSC413/2516 Winter 2023 with Prof. The starter code is provided as a Python Notebook on Colab (https://colab. Let’s group all the parameters (weights and biases) of our network into a single vector . , Xij = Xji) if the order of the words do not matter, or asymmetric (i. Difficulty Oct 9, 2023 · CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Homework 1 1. Pig Latin Pig Latin is a simple . pdf. For simplicity, assume a non-zero pairwise correlation between the ensemble members, that is ρ. 0 Version Release Date: CSC413/2516 Winter 2022 with Professor Jimmy Ba and Professor Bo Wang Homework 2 randomly sampled without replacement from the data matrix X. You can produce the file however you like (e. CSC413/2516 Homework 1 $ 30. 3 Version Release Date: 2021-04-07 Deadline: Sunday, April 11th, at 11:59pm. CSC413/2516 Winter 2021 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Programming Assignment 1: Learning Distributed Word For CSC413/2516 in Winter 2023 with Professors Jimmy Ba and Bo Wang. Good bye, RNN! Jimmy Ba and Bo Wang CSC413/2516 Lecture 8: Transformers and 1 CS490/590 Lecture 13: Transformers and For CSC413/2516 in Winter 2022 with Professor Jimmy Ba and Professor Bo Wang. Assume that X is full rank. Jimmy Ba and Bo Wang Programming Assignment 2 Programming Assignment 2: Convolutional Neural Networks Version: 1. 2: updated image of FCNN architecture to specify output channels in hyphens and added sentence to say the number after the hyphen specifies CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 1 Part 4: Analysis (4pts) In this part, you will analyze the representation learned by the network. pdf, and your code file a2-cnn. pdf, which should the answers to (1) written assignment and (2) programming assignment. In this question, we will explore how various architectural choices can have a significant impact on learning. N-Gram Language Models Problems with n-gram language models Professor Jimmy Lei Ba published a lot of top ML papers as a PhD student. CSC413. 2) Added initial condition clarification. You can produce the le however you like (e. pk’, ’rb’)) Now data is a Python dict which contains the vocabulary, as well as the inputs and targets for all three splits of the data. 27, at 11:59pm. Submission: You must submit your solutions as a PDF file through MarkUs 1 . Winter 2022 (UTM) with Florian Shkurti; Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael Zhang ITiCSE 2023 Poster . CSC413/2516 Homework 1 quantity. CSC413/2516 Lecture 2: Multilayer Perceptrons & Backpropagation Jimmy Ba and Bo Wang Jimmy Ba and Bo Wang CSC413/2516 Lecture 2: Multilayer You will not be graded for any additional sentences. It receives as input 3 consecutive words, and its aim is to predict a distribution over the next word (the CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 2 Programming Assignment 2: Convolutional Neural Networks Due Date: Wednesday, Feb. Overview and Expectations You will be completing this assignment with the aid of large language models (LLMs) such as ChatGPT, text-davinci-003, or code-davinci-002. Where L denotes the loss on xj, the update for a single step of mini-batch SGD at time t with scalar learning rate η is: Mar 13, 2024 · View lec11. CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Homework 1 In this question, we will investigate a more efficient way to compute the per-example gradient norm and reason about its complexity compared to the naive method. ipynb. Consider the following linear regression model with weight Jimmy Ba and Bo Wang CSC413/2516 Lecture 11: Q-Learning & the Game of Go 22/48. < Oct 9, 2023 · Enhanced Document Preview: CSC413/2516 Winter 2022 with Professor Jimmy Ba and Professor Bo Wang. Submission: You must submit two files through MarkUs: a PDF file containing your writeup, titled a2-writeup. 3 Relative association between two sets of target words [0 pts] [Type 3] In the original WEAT paper, the authors do not examine the association of individual words with Jimmy Ba and Bo Wang CSC421/2516 Lecture 3: AutoDi , Distributed Representations & Optimization 22/67. s. Expressive Power Limits of universality You may need to represent an exponentially CSC413/2516 Winter 2022 with Professor Jimmy Ba and Professor Bo Wang Homework 3 1 Trading off Resources in Neural Net Training 1. 4) Removed BatchNorm2d parameters from Part A question 3. The network takes a pair of numbers (x 1,x 2) as input and output a sorted pair (y 1,y 2), where y 1 ≤y 2. There were 4 programming assignments, 4 math assignments, and a final project (also a midterm). The co-occurrence matrix can be symmetric (i. 20th, at 11:59pm Submission: You must submit 3 files through MarkUs 1 : a PDF file containing your writeup, titled a3-writeup. 3) Updated 3. Home / CSC 413/2516 / CSC413/2516 Homework 1. CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 2 Homework 2 - Version 1. 5 points (Q2. In this question, we will explore how various architectural choices can have a significant impact on CSC413/2516 Homework 2 Optimization $ 30. CSC 413. CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 3 Programming Assignment 3: Attention-Based Neural Machine For CSC413/2516 in Winter 2021 with Professors Jimmy Ba and Bo Wang. [2003]. Total views 100+ University of Toronto. O In the simplest case, all input units are CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 4 Introduction In this assignment, you’ll get hands-on experience coding and training GANs. Jimmy Ba. [1pt] Implementation: Implement this architecture by filling in the __init__ method of the DCGenerator class, shown below. Category: CSC 413/2516 You will Instantly receive a CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Important Instructions Read the following before attempting the assignment. edu; TAs and instructor: csc413-2020-01-tas@cs. N-Gram Language Models Problems with n-gram language models 1 Trading off Resources in Neural Net Training 1. g. CSC413/2516 Programming Assignment 2: Convolutional Neural Networks solution quantity. PA01. • (v1. data Jimmy Ba and Bo Wang CSC413 Lecture 1: Introduction . 2/10/2021. Submission: You must submit your solutions as a PDF le through MarkUs1. 3 Find the k th smallest number [0pt] Based on your sorting network, you may want to add a new layer to output your final result (k th smallest number). The programming assignments are individual work. Jimmy Ba CSC413/2516 Lecture 10: Generative Models & Reinforcement Learning 5 / 40 Change of Variables Formula Suppose we have a generator network which computes the function f. Prof Jimmy Ba - DaPraxis/CSC413-2020-Winter a. Jimmy Ba and Bo Wang Programming Assignment 4 Introduction In this assignment, you’ll get hands-on experience coding and training GANs, GCN (Graph Con-volution Network) as well as DQN (Deep Q-learning Network), one of Reinforcement Learning methods. pdf from CS 6000 at University of Waterloo. Figure 2: A cartoon illustration of the typical relationship between training steps and the batch size for reaching a certain validation loss (based on Shallue et al. 1 Version Release Date: 2022-02-06 Changes by Version: • (v1. Feature maps = wo = WO WIX VV2X 11=3 = WO + WI x + W9X 11=9 -Pattern Recognition and Machine Learning CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Important Instructions Read the following before attempting the assignment. 11, at 11:59pm. Feb 16, 2020 · CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 1 import pickle data = pickle. Nov 22nd, 2020. dimensions of z) while holding Feb 16, 2020 · CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 1 Homework 1 - Version 1. CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 3 1 Weight Decay Here, we will develop further intuitions on how adding weight decay can in uence the solution space. io/ assets/readings/L07. Upsample references in Part A question 1 – Added hints in Part A question 3. 4 Deadline: Monday, Jan. 1 Hard-Coding Networks Can we use neural networks to tackle coding problems? Yes! In this question, you will build a neural network to find the k th smallest number from a list using two different approaches: sorting and counting (Optional). Jimmy Ba and Bo Wang Programming Assignment 2 and for each grid cell predicts bounding boxes, confidence for those boxes, and conditional class probabilities. 3 Bagging - General Case In practice, there will be correlations among the k predictions of the ensemble members because the sampled training datasets would be very similar to each other. Office hours: Instructor W 5 – 6 PT290D, TAs: TH 3–4 PT290C University of Toronto's CSC413: Deep Learning and Neural Network Course. pdf from PHY 1101 at University of Toronto. The goal is to help you (i) develop a solid under-standing of the course materials, and (ii) gain some experience in using LLMs for problem solving. , by printing this notebook webpage as PDF). Sep 15, 2023 · CSC413/2516 Winter 2023 with Prof. This assignment is divided into three parts: in the rst part, we will implement a speci c type of GAN designed to process images, called a Deep Convolutional GAN (DCGAN). Example2: Dot-Product Attention Assume the keys and the values are the same vectors: Jimmy Ba CSC413/2516 Lecture 7: Generalization & Recurrent Neural Networks 20 / 57. load(open(’data. a. Neural Machine Translation We’d like to translate, e. 3. edu; TAs and instructor: csc413-2022-01-tas@cs. Good bye, RNN! Jimmy Ba and Bo Wang CSC413/2516 Lecture 8: Transformers and 1 CS490/590 Lecture 13: Transformers and CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Homework 4 1 RNNs and Self Attention For any successful deep learning system, choosing the right network architecture is as important as choosing a good learning algorithm. Jan 3, 2022 · CSC413/2516 Winter 2021 with Professor Jimmy Ba & Professor Bo Wang Homework 4 Homework 4 Version: 1. The University of Toronto (St. Jimmy Ba CSC413/2516 Lecture 11: Q-Learning & the Game of Go 1 / 29 Overview. 2) Reweighted to be 0. Buy This Answer. pdf - CSC413/2516 Winter 2021 with Professor Jimmy Ba Pages 12. e. Jimmy Ba CSC413/2516 Lecture 8: Attention and Transformers 22 / 50. pdf from CSC 413 at University of Toronto, Scarborough. ipynb and bert and gpt. [1pt] Implementation: Implement this architecture by filling in the __init__ method of the DCGenerator class, shown Jimmy Ba University of Toronto Verified email at cs. Setting CSC413/2516 Lecture 11: Q-Learning & the Game of Go. See full list on uoft-csc413. data[’vocab’] is a list of the 250 words in the dictionary; data[’vocab’][0] is the word with index 0, and so on. 10, at 11:59pm. Home / CSC 413/2516 / CSC413/2516 Homework 1 Hard-Coding Networks solution. View lec02. 5 Changes by Version: • (v1. Resources and communication A lot of learning in this course happens outside of the classroom. Feb 13, 2024 · Jimmy Ba and Bo Wang CSC413 Lecture 1: Introduction 6 / 68. CSC413/2516 Lecture 8: Attention and Transformers Jimmy Ba Jimmy Ba CSC413/2516 Lecture 8: Attention and Transformers 1 / 50 Overview We have seen a few RNN-based sequence prediction models. In this question, we will explore how various architectural CSC413/2516 Winter 2022 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Introduction In this assignment we will learn about word embeddings and make neural networks learn about words. Your writeup must be typeset. Along the way, you will gain experience with important concepts like recurrent neural networks and sequence-to-sequence architectures (Part 1), attention mechanisms (Part 2), pretrained language models (Part 3) and multimodal vision and language models (Part 4). 1 Sort two numbers[1pt] In this problem, you need to find a set of weights and bias for a two-layer perceptron “Sort2” that sorts two numbers. CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 1 Part 2: Network architecture (2pts) In this assignment, we will train a neural language model like the one we covered in lecture and as in Bengio et al. github. His course was also very informative. edu; Please do not send the instructor or the TAs email about the class directly to their personal accounts. Along the way, you’ll gain experience with several important concepts in NMT, including gated recurrent neural networks and attention. CSC. 16th, at 11:59pm Based on an assignment by Lisa Zhang Submission: You must submit 3 les through MarkUs1: a PDF le containing your writeup, titled CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Important Instructions Read the following before attempting the assignment. Jimmy Ba CSC413/2516 Lecture 2: Multilayer Perceptrons & Backpropagation 22 / 47. toronto. 1 Deadline: Monday, Feb. Mar 8, 2022 · Jimmy Ba, Tues 2-4pm; Bo Wang, Thurs 12-1pm; Head TA: Harris Chan and John Giorgi; Contact emails: Instructor: csc413-2022-01@cs. To alleviate the unnecessary steps related to generating results and screenshotting, we have provided the GPT-generated CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 4 Linear & upconv1 upconv2 upconv3 reshape 32 32 3 16 16 32 8 8 64 4 4 128 BatchNorm & ReLU tanh Generator BatchNorm & ReLU BatchNorm & ReLU 100 1 1 1. Recap: Markov Decision Processes The environment is represented as aMarkov decision CSC413/2516 with Professor Jimmy Ba & Professor Bo Wang Assignment 1. We could try to match statistics about the words, or we could train a network that takes a Jimmy Ba and Bo Wang CSC421/2516 Lecture 3: Automatic Di erentiation & Distributed Representations22/67. , English to French Jimmy Ba CSC413/2516 Lecture 10: Generative Models & Reinforcement Learning 24 / 28 Class-Conditional VAE By varying twolatent dimensions(i. CSC413/2516 Winter 2022 with Professor Jimmy Ba & Bo Wang Programming Assignment 3 Introduction In this assignment, you will explore common tasks and model architectures in Natural Language Processing (NLP). pdf, and your code files nmt. CSC413/2516 Assignment 3 Solution You will be completing this assignment with the aid of large language models (LLMs) such as ChatGPT, text-davinci-003, or code-davinci-002. See the Course Syllabus for detailed policies Nov 28, 2021 · Jimmy Ba CSC413/2516 Lecture 11: Q-Learning & the Game of Go 14 / 29Policy Gradient vs. edu as soon as possible by Friday, January 27th, 2023. Submission: You must submit your solutions as a PDF file through MarkUs1 . View PA03. See the syllabus on the course website2 for detailed Jimmy Ba and Bo Wang CSC413/2516 Lecture 7: Recurrent Neural Networks & Attention 13/53. CSC413/2516 Winter 2020 with Professor Jimmy Ba Programming Assignment 2 Programming Assignment 2: Convolutional Neural Networks Due Date: lec11. The goal is to help you (i) develop a solid under-standing of the course materials, and (ii) gain some experience in using LLMs for You will be completing this assignment with the aid of large language models (LLMs) such as ChatGPT, text-davinci-003, or code-davinci-002. 3) Change the weight decay equation to use Xinstead Nov 19, 2021 · CSC413/2516 Winter 2021 with Professor Jimmy Ba & Bo Wang Programming Assignment 3 Programming Assignment 3: Attention-Based Neural Machine Trans- lation Due Date: Sat, Mar. Think of this as analogous to (i) understanding the […] For CSC413/2516 in Winter 2021 with Professor Jimmy Ba and Professor Bo Wang. Jimmy Ba and Bo Wang Programming Assignment 4 Linear & upconv1 upconv2 upconv3 reshape 32 32 3 16 16 32 8 8 64 4 4 128 BatchNorm & ReLU tanh Generator BatchNorm & ReLU BatchNorm & ReLU 100 1 1 1. You can produce the file however y CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 1 Homework 1 - Version 1. We will analyze the learning performance from the perspective of […] CSC413/2516 Assignment 1 You will be completing this assignment with the aid of large language models (LLMs) such as ChatGPT, text-davinci-003, or code-davinci-002. Hints: W (3) ∈ R 1 × 4 . 1 Architectural Choice v. CSC413/2516 Winter 2020 with Professor Jimmy Ba Homework 4 1 Architectural Choice v. 26th, at 11:59pm Based on an assignment by Lisa Zhang Submission: You must submit 2 les through MarkUs1: a PDF le containing your writeup, titled a2-writeup. CSC413/2516 Lecture 11: Q-Learning & the Game of Go Jimmy Ba and Bo Wang Jimmy Ba and Bo Wang CSC413/2516 Lecture 11: Q-Learning & the Game of Jimmy Ba and Bo Wang CSC413/2516 Lecture 11: Q-Learning & the Game of Go 3/48. Buy Answer. Your writeup must be typed. 1 Effect of batch size When training neural networks, it is important to select appropriate learning hyperparameters such as learning rate, batch size, and the optimizer for training. George) CSC413 In course Assignments, Codings, and Lecture Materials. CSC413/2516 Homework 2 Optimization quantity. 2: updated image of FCNN architecture to specify output channels in hyphens and added sentence to say the number after the hyphen specifies the number of output channels or units of a layer View PA01. In this question, we will investigate the effect of how varying these quantities will affect the validation loss during […] Programming Assignment 3: Attention-Based Neural Machine Translation Introduction In this assignment, you will train a few attention-based neural machine translation models to translate words from English to Pig-Latin. [2018]). 2 to have simplified FCNN architecture for calculations. For a refresher on generalization, please refer to: https://csc413-2020. Along the way, you will gain experience with important concepts like recurrent Jimmy Ba and Bo Wang CSC413/2516 Lecture 7: Recurrent Neural Networks & Attention 13/52. CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 1 Assignment 1 Version: 1. Go Played on a 19 19 board Two players, black and white, each place one stone per turn CSE 891-4 in Fall 2020, based on the Toronto Neural Networks and Deep Learning course CSC413/2516 by Roger Grosse and Jimmy Ba. 1) Reweighted to be 0. pdf, and your code le a2-cnn. Instructor: Jimmy Ba; Head TA: Jenny Bao; Contact emails: Instructor: csc413-2020-01@cs. 99. It is still challenging to generate long sequences, when the decoders only has access to the final hidden states from the encoder. CSC413/2516 Winter 2021 with Professor Jimmy Ba & Professor Bo Wang Homework 4 Homework 4 Version: 1. CSC413/2516 Winter 2023 with Professor Jimmy Ba & Professor Bo Wang Assignment 4 Important Instructions Read the following before attempting the assignment. pdf, and your code file a2-code. toronto K Paster, S Pitis, H Chan, J Ba. About My solutions to the Deep Learning homework assignments at MSU. fcido ikkxjw qsa zuw qbcjmyu flcix enwt huyrmo inlwy zrv llrdk soeeb qxtk dxp ygpc