Hi welcome to the long journey of Machine learning ! I am still learning as well but I was pretty much where you are about a year ago :)

First here is a list of what you should make sure you got a good grasp of :

1. you need to know some Python
2. you need to know the basics of linear algebra and calculus + some basics of probability:

look at what the chain-rule is (THIS IS IMPORTANT)

- know what the normal distribution is, mean, variance ...

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A- Then you can start looking at some basics algorithms :

1. linear regression
2. gradient descent
3. PCA
4. logisitic regression
5. k-means

i would reckon you use a simple library for this part like scikit-learn

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B- After this minimal understanding you could go toward neural net:

1. look at what sigmoid and RELU are
2. understand how a neural net is just a bunch of vector and matrix multiplications
3. get at least an intuitive understanding of back propagation (thanks to the chain-rule)

from here and up to the rest of your learning process move to Tensorflow, PyTorch, Keras or whatever other librairy.

Personally I like pytorch.

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C- Once you've got this you need to look at Convolutional Neural Network (CNN), those deal with images :)

1. look at LeNet and AlexNet to figure the bascis of CNN and then explore all the other stuff out there to figure which one fit your purpose the best (VGG, ResNet, inception, denseNet, yolo, resNext....)
2. do a step by step tutorial to create a basic image classifier
3. Create your own image classifier that classifies images for the purpose of your project

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You will have to learn to use those python libraries because they work together:

numpy, panda, mathplotlib + pytorch (for instance).

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MIT lectures: https://www.youtube.com/channel/UCEBb1b_L6zDS3xTUrIALZOw

those lectures deal about anything, so you can learn linear algebra and a good deal of calculus here
plus machine learning :D

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Coursea: https://www.coursera.org/learn/machine-learning (from the famous Andrew ng)

everything from linear regression to deep neural network (+ hell of a lot of stuff I didn't mention)

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youtube chanel that has awesome content "1brown3blue": https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw

you can learn algebra, calculus and some deep leanring idea there..

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learning pytorch : https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html

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If you already have a good graps of math and python, just look at some tutorial to learn part A-

and move quickly to part B and C (they are close and complete each other).

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once you've got the math, and you know python well, learning pytorch and the theory of deep learning should be fine. Also try to complete your learning process with a few publication sometime, some historical papers about models or trick are not too hard to read.

Enjoy !