add requirements.txt versions

Author: rasbt

supplementary/00-1_python-setup-guide/README.md

@@ -0,0 +1,79 @@
+# Python Setup Tips
+
+
+
+There are several different ways you can install Python and set up your computing environment. Here, I am illustrating my personal preference. 
+
+(I am using computers running macOS, but this workflow is similar for Linux machines and may work for other operating systems as well.)
+
+
+
+## 1. Download and install Miniforge
+
+Download miniforge from the GitHub repository [here](https://github.com/conda-forge/miniforge).
+
+<img src="figures/download.png" alt="download" style="zoom:33%;" />
+
+Depending on your operating system, this should download either an `.sh` (macOS, Linux) or `.exe` file (Windows). 
+
+For the `.sh` file, open your command line terminal and execute the following command
+
+```bash
+sh ~/Desktop/Miniforge3-MacOSX-arm64.sh
+```
+
+where `Desktop/` is the folder where the Miniforge installer was downloaded to. On your computer, you may have to replace it with `Downloads/`.
+
+<img src="figures/miniforge-install.png" alt="miniforge-install" style="zoom:33%;" />
+
+Next, step through the download instructions, confirming with "Enter".
+
+## 2. Create a new virtual environment
+
+After the installation was successfully completed, I recommend creating a new virtual environment called `dl-fundamentals`, which you can do by executing
+
+```bash
+conda create -n book python=3.9
+```
+
+<img src="figures/new-env.png" alt="new-env" style="zoom:33%;" />
+
+Next, activate your new virtual environment (you have to do it every time you open a new terminal window or tab):
+
+```bash
+conda activate book
+```
+
+
+
+## Optional: styling your terminal
+
+If you want to style your terminal similar to mine so that you can see which virtual environment is active,  check out the [Oh My Zsh](https://github.com/ohmyzsh/ohmyzsh) project.
+
+
+
+# 3. Install new Python libraries
+
+
+
+To install new Python libraries, you can now use the `conda` package installer. For example, you can install [JupyterLab](https://jupyter.org/install) and [watermark](https://github.com/rasbt/watermark) as follows:
+
+```bash
+conda install jupyterlab watermark
+```
+
+
+
+Alternatively you can also use `pip` to install libraries instead. By default, `pip` should be linked to your new `book` conda environment:
+
+```bash
+pip install jupyterlab watermark
+```
+
+
+---
+
+
+
+
+Any questions? Please feel free to reach out in the [Discussion Forum](https://github.com/rasbt/MachineLearning-QandAI-book/discussions).

supplementary/00-1_python-setup-guide/figures/download.png

@@ -0,0 +1,21 @@
+# Readme
+
+To install the Python code requirements for the respective chapters, I recommend creating a new virtual environment first:
+
+```bash
+conda create --new book python=3.9
+conda activate book
+```
+
+I prefer `conda`, and for more step-by-step instructions please also see the [00-1_python-setup-guide](00-1_python-setup-guide) folder for my personal Python setup preferences.
+
+However, you can also use any other virtual environment manager of your choice, for example, [venv](https://docs.python.org/3/library/venv.html).
+
+
+
+Then, you can ran the following pip command to install the code requirements:
+
+
+```
+pip install -r requirements.txt
+```

supplementary/00-1_python-setup-guide/figures/miniforge-install.png

@@ -270,7 +270,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/00-1_python-setup-guide/figures/new-env.png

@@ -220,7 +220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/README.md

@@ -27,9 +27,9 @@
      "output_type": "stream",
      "text": [
       "Parameter containing:\n",
-      "tensor([[-0.5337, -0.5803],\n",
-      "        [ 0.3135, -0.6076],\n",
-      "        [-0.4933,  0.1692]], requires_grad=True)\n"
+      "tensor([[ 0.1458, -0.5813],\n",
+      "        [-0.3033,  0.0979],\n",
+      "        [-0.0911, -0.2116]], requires_grad=True)\n"
      ]
     }
    ],
@@ -52,9 +52,9 @@
      "output_type": "stream",
      "text": [
       "Parameter containing:\n",
-      "tensor([[ 0.4520,  0.6994],\n",
-      "        [-0.3923, -0.2530],\n",
-      "        [ 0.3781,  0.2438]], requires_grad=True)\n"
+      "tensor([[ 0.1760, -0.6285],\n",
+      "        [-0.1398, -0.0959],\n",
+      "        [ 0.3127,  0.4303]], requires_grad=True)\n"
      ]
     }
    ],
@@ -136,7 +136,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q10-random-sources/data-sampling.ipynb

@@ -10,15 +10,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 1,
    "id": "a99e7ac1-9681-45c1-a4ef-715491d22828",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "PyTorch version: 1.13.1\n"
+      "PyTorch version: 2.0.1\n"
      ]
     }
    ],
@@ -521,7 +521,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q10-random-sources/dropout.ipynb

@@ -374,7 +374,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q10-random-sources/random-weights.ipynb

@@ -8,6 +8,32 @@
     "## Synonym replacement"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0ab61d1f-466f-4469-99da-b172a959c2cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Author: Sebastian Raschka\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.11.4\n",
+      "IPython version      : 8.14.0\n",
+      "\n",
+      "nltk: 3.8.1\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -a 'Sebastian Raschka' -v -p nltk"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -232,7 +258,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q11-conv-size/q11-conv-size.ipynb

@@ -658,7 +658,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q12-fc-cnn-equivalence/q12-fc-cnn-equivalence.ipynb

@@ -563,7 +563,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

supplementary/q15-text-augment/synonym-replacement.ipynb

@@ -0,0 +1,7 @@
+jupyterlab
+mlxtend>=0.22.0
+nltk>=3.8.1
+numpy>=1.23.5
+scikit-learn>=1.2.2
+torch>=2.0.0
+watermark>=2.4.3