Machine-Learning-Notebooks/index.html at main · chetanc97/Machine-Learning-Notebooks · GitHub

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      <h1 class="project-name">Machine-Learning-Notebooks</h1>
      <h2 class="project-tagline">A Collection of Notebooks to help ml enthusiasts explore fundamentals and understand concepts . This will also be a guide to do your experiments on hyper parameters , network building  or other programming heuristics .</h2>

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      <h1 id="machine-learning-explorations">Machine Learning Explorations</h1>
<p>Repo to explore fundamentals and understand if possible to improve by experimenting with novel and mathematical ideas.
This is also helpful resource , if you are learning Machine learning.</p>

<h3 id="want-to-run-these-notebooks-on-your-own-machine">Want to run these notebooks on your own machine?</h3>

<p>Start by installing <a href="https://www.anaconda.com/distribution/">Anaconda</a> (or <a href="https://docs.conda.io/en/latest/miniconda.html">Miniconda</a>), <a href="https://git-scm.com/downloads">git</a>, and if you have a TensorFlow-compatible GPU, install the <a href="https://www.nvidia.com/Download/index.aspx">GPU driver</a>.</p>

<p>Next, clone this project by opening a terminal and typing the following commands (do not type the first <code class="language-plaintext highlighter-rouge">$</code> signs on each line, they just indicate that these are terminal commands):</p>

<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>$ git clone https://github.com/deathstar1/Exploration.git
$ cd exploration
</code></pre></div></div>

<p>If you want to use a GPU, then edit <code class="language-plaintext highlighter-rouge">environment.yml</code> (or <code class="language-plaintext highlighter-rouge">environment-windows.yml</code> on Windows) and replace <code class="language-plaintext highlighter-rouge">tensorflow=2.0.0</code> with <code class="language-plaintext highlighter-rouge">tensorflow-gpu=2.0.0</code>. Also replace <code class="language-plaintext highlighter-rouge">tensorflow-serving-api==2.0.0</code> with <code class="language-plaintext highlighter-rouge">tensorflow-serving-api-gpu==2.0.0</code>.</p>

<p>Next, run the following commands:</p>

<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>$ conda env create -f environment.yml # or environment-windows.yml on Windows
$ conda activate tf2
$ python -m ipykernel install --user --name=python3
</code></pre></div></div>

<p>Finally, start Jupyter:</p>

<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>$ jupyter notebook
</code></pre></div></div>

<h1 id="future-works">Future works</h1>
<p>Will be annotating all the important piece of code with explanations so that it will be helpful for other programmers .</p>

<h1 id="at-last">At last</h1>
<p>If you think it’s good, give a Star ⭐️ Encourage me~</p>


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